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{
"role": "system",
"content": "You are an advanced Edge AI assistant specialized in Root Cause Analysis and Fault Detection for telecom networks, particularly 5G/6G drive-test and operational data.\nYour primary task is to perform Anomaly Detection and Root Cause Analysis on user-provided drive-test logs, engineering parameters, KPIs, and related tabular or textual data. Using your capabilities as a Large Language Model, you must:\n\nCarefully examine signal metrics (e.g., RSRP, SINR, throughput, RB allocation), handover events, PCI configurations, cell coverage parameters, vehicle speed, and any other relevant indicators.\nIdentify performance anomalies (e.g., sudden throughput drops, low SINR despite good RSRP, frequent handovers).\nDetermine the most likely root cause from a predefined set of possibilities (e.g., overshooting, interference, weak coverage, resource limitation, etc.).\nProvide clear, step-by-step reasoning that references specific values and patterns in the data.\nConclude every analysis with the final root cause enclosed in \boxed{} format (e.g., \boxed{C2}).\n\nAlways prioritize evidence-based reasoning over assumptions. When multiple causes appear possible, rank them by likelihood and select the that one is the most probable. Leverage Edge AI principles by delivering fast, accurate, and explainable diagnostics that could run efficiently on resource-constrained devices at the network edge.\nRespond only with the final boxed answer; do not add unnecessary conversation"
},
{
"role": "user",
"content": "Analyze the 5G wireless network drive-test user plane data and engineering parameters.\nIdentify the reason for the throughput dropping below 600Mbps in certain road sections.\nFrom the following 8 potential root causes, select the most likely one and enclose its number in \\boxed{{}} in the final answer.\n\nC1: The serving cell's downtilt angle is too large, causing weak coverage at the far end.\nC2: The serving cell's coverage distance exceeds 1km, resulting in over-shooting.\nC3: A neighboring cell provides higher throughput.\nC4: Non-colocated co-frequency neighboring cells cause severe overlapping coverage.\nC5: Frequent handovers degrade performance.\nC6: Neighbor cell and serving cell have the same PCI mod 30, leading to interference.\nC7: Test vehicle speed exceeds 40km/h, impacting user throughput.\nC8: Average scheduled RBs are below 160, affecting throughput.\n\nGiven:\n- The default electronic downtilt value is 255, representing a downtilt angle of 6 degrees. Other values represent the actual downtilt angle in degrees.\n\nBeam Scenario and Vertical Beamwidth Relationships:\n- When the cell's Beam Scenario is set to Default or SCENARIO_1 to SCENARIO_5, the vertical beamwidth is 6 degrees.\n- When the cell's Beam Scenario is set to SCENARIO_6 to SCENARIO_11, the vertical beamwidth is 12 degrees.\n- When the cell's Beam Scenario is set to SCENARIO_12 or above, the vertical beamwidth is 25 degrees.\n\nUser plane drive test data as follows：\n\nTimestamp|Longitude|Latitude|GPS Speed (km/h)|5G KPI PCell RF Serving PCI|5G KPI PCell RF Serving SS-RSRP [dBm]|5G KPI PCell RF Serving SS-SINR [dB]|5G KPI PCell Layer2 MAC DL Throughput [Mbps]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 1 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 2 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 3 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 4 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 5 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 1 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 2 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 3 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 4 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 5 Filtered Tx BRSRP [dBm]|5G KPI PCell Layer1 DL RB Num (Including 0)\n2025-05-07 15:23:52.000000|128.188169|32.579273|1|712|-77.0|15.93|1351.25|258|71|284|-|-|-90.49|-95.82|-102.2|-|-|210.91\n2025-05-07 15:23:53.000000|128.18814|32.579223|2|71|-80.97|6.6|366.57|258|712|129|-|-|-88.72|-93.26|-105.47|-|-|211.23\n2025-05-07 15:23:54.000000|128.188117|32.579174|16|71|-85.5|1.81|334.0|258|712|-|-|-|-84.41|-96.46|-|-|-|210.99\n2025-05-07 15:23:55.000000|128.188103|32.579113|14|71|-88.21|5.4|431.94|712|258|-|-|-|-88.04|-93.72|-|-|-|195.26\n2025-05-07 15:23:56.000000|128.188088|32.579075|19|71|-78.45|13.59|566.34|712|258|284|-|-|-87.97|-98.7|-105.92|-|-|209.0\n2025-05-07 15:23:57.000000|128.188073|32.579033|22|258|-77.45|11.45|1308.74|712|71|284|129|-|-89.56|-93.31|-104.18|-110.78|-|204.95\n2025-05-07 15:23:58.000000|128.188051|32.579002|16|258|-81.66|10.06|1310.14|712|71|284|129|-|-84.85|-93.3|-102.87|-114.09|-|210.13\n2025-05-07 15:23:59.000000|128.188073|32.578995|26|258|-79.13|16.32|1023.36|712|71|284|129|-|-86.75|-93.71|-104.01|-107.26|-|208.06\n2025-05-07 15:24:00.000000|128.188036|32.578984|33|258|-74.09|19.8|770.83|712|71|284|129|-|-89.29|-96.4|-100.21|-114.11|-|207.07\n2025-05-07 15:24:01.000000|128.188036|32.578984|25|258|-71.09|19.62|1014.75|712|71|-|-|-|-90.14|-92.93|-|-|-|205.57\n\n\nEngeneering parameters data as follows：\n\ngNodeB ID|Cell ID|Longitude|Latitude|Mechanical Azimuth|Mechanical Downtilt|Digital Tilt|Digital Azimuth|Beam Scenario|Height|PCI|TxRx Mode|Max Transmit Power|Antenna Model\n0034038|4|128.188273|32.579129|50|6|4|0|DEFAULT|5.0|712|64T64R|34.9|NR AAU 2\n0033164|27|128.217634|32.58072|240|3|10|0|DEFAULT|29.7|71|32T32R|34.9|NR AAU 1\n0034038|2|128.188282|32.579099|140|10|4|0|DEFAULT|5.0|258|64T64R|34.9|NR AAU 2\n0034038|24|128.18769|32.57791|40|44|9|10|SCENARIO_9|56.0|284|64T64R|34.9|NR AAU 2\n0033164|14|128.189481|32.581043|150|20|255|0|DEFAULT|28.7|129|64T64R|34.9|NR AAU 2"
},
{
"role": "assistant",
"content": "C2"
}
] |
[
{
"role": "system",
"content": "You are an advanced Edge AI assistant specialized in Root Cause Analysis and Fault Detection for telecom networks, particularly 5G/6G drive-test and operational data.\nYour primary task is to perform Anomaly Detection and Root Cause Analysis on user-provided drive-test logs, engineering parameters, KPIs, and related tabular or textual data. Using your capabilities as a Large Language Model, you must:\n\nCarefully examine signal metrics (e.g., RSRP, SINR, throughput, RB allocation), handover events, PCI configurations, cell coverage parameters, vehicle speed, and any other relevant indicators.\nIdentify performance anomalies (e.g., sudden throughput drops, low SINR despite good RSRP, frequent handovers).\nDetermine the most likely root cause from a predefined set of possibilities (e.g., overshooting, interference, weak coverage, resource limitation, etc.).\nProvide clear, step-by-step reasoning that references specific values and patterns in the data.\nConclude every analysis with the final root cause enclosed in \boxed{} format (e.g., \boxed{C2}).\n\nAlways prioritize evidence-based reasoning over assumptions. When multiple causes appear possible, rank them by likelihood and select the that one is the most probable. Leverage Edge AI principles by delivering fast, accurate, and explainable diagnostics that could run efficiently on resource-constrained devices at the network edge.\nRespond only with the final boxed answer; do not add unnecessary conversation"
},
{
"role": "user",
"content": "Analyze the 5G wireless network drive-test user plane data and engineering parameters.\nIdentify the reason for the throughput dropping below 600Mbps in certain road sections.\nFrom the following 8 potential root causes, select the most likely one and enclose its number in \\boxed{{}} in the final answer.\n\nC1: The serving cell's downtilt angle is too large, causing weak coverage at the far end.\nC2: The serving cell's coverage distance exceeds 1km, resulting in over-shooting.\nC3: A neighboring cell provides higher throughput.\nC4: Non-colocated co-frequency neighboring cells cause severe overlapping coverage.\nC5: Frequent handovers degrade performance.\nC6: Neighbor cell and serving cell have the same PCI mod 30, leading to interference.\nC7: Test vehicle speed exceeds 40km/h, impacting user throughput.\nC8: Average scheduled RBs are below 160, affecting throughput.\n\nGiven:\n- The default electronic downtilt value is 255, representing a downtilt angle of 6 degrees. Other values represent the actual downtilt angle in degrees.\n\nBeam Scenario and Vertical Beamwidth Relationships:\n- When the cell's Beam Scenario is set to Default or SCENARIO_1 to SCENARIO_5, the vertical beamwidth is 6 degrees.\n- When the cell's Beam Scenario is set to SCENARIO_6 to SCENARIO_11, the vertical beamwidth is 12 degrees.\n- When the cell's Beam Scenario is set to SCENARIO_12 or above, the vertical beamwidth is 25 degrees.\n\nUser plane drive test data as follows：\n\nTimestamp|Longitude|Latitude|GPS Speed (km/h)|5G KPI PCell RF Serving PCI|5G KPI PCell RF Serving SS-RSRP [dBm]|5G KPI PCell RF Serving SS-SINR [dB]|5G KPI PCell Layer2 MAC DL Throughput [Mbps]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 1 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 2 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 3 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 4 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 5 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 1 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 2 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 3 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 4 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 5 Filtered Tx BRSRP [dBm]|5G KPI PCell Layer1 DL RB Num (Including 0)\n2025-05-07 16:22:16.000000|128.188765|32.580933|17|71|-86.03|17.36|850.53|307|498|868|-|-|-93.31|-105.85|-116.17|-|-|210.39\n2025-05-07 16:22:17.000000|128.188773|32.580926|20|71|-85.42|14.09|1202.59|307|498|868|151|-|-92.17|-100.52|-107.25|-117.89|-|210.94\n2025-05-07 16:22:18.000000|128.188779|32.580914|22|71|-82.24|11.57|520.58|307|498|868|-|-|-95.62|-99.37|-107.33|-|-|211.09\n2025-05-07 16:22:19.000000|128.188793|32.580895|3|71|-87.98|11.32|490.28|307|498|868|-|-|-98.66|-103.8|-108.35|-|-|210.95\n2025-05-07 16:22:20.000000|128.188778|32.580865|5|307|-86.82|14.64|388.58|71|498|368|-|-|-94.4|-97.99|-107.43|-|-|210.44\n2025-05-07 16:22:21.000000|128.188759|32.580476|21|307|-77.67|10.16|482.09|71|498|368|-|-|-90.76|-98.14|-103.59|-|-|210.84\n2025-05-07 16:22:22.000000|128.188749|32.580766|17|307|-86.21|6.89|1170.78|71|498|368|-|-|-91.42|-97.37|-103.69|-|-|198.41\n2025-05-07 16:22:23.000000|128.188719|32.580697|33|307|-80.95|7.08|1212.16|71|498|368|-|-|-93.43|-98.08|-109.13|-|-|205.57\n2025-05-07 16:22:24.000000|128.188704|32.580618|24|307|-85.33|6.35|1166.87|71|498|656|368|-|-96.21|-100.19|-108.68|-112.19|-|206.56\n2025-05-07 16:22:25.000000|128.188674|32.580538|23|307|-76.77|12.71|1016.05|71|498|656|368|-|-97.08|-101.53|-109.84|-113.35|-|209.11\n\n\nEngeneering parameters data as follows：\n\ngNodeB ID|Cell ID|Longitude|Latitude|Mechanical Azimuth|Mechanical Downtilt|Digital Tilt|Digital Azimuth|Beam Scenario|Height|PCI|TxRx Mode|Max Transmit Power|Antenna Model\n0033164|14|128.189202|32.581003|150|20|255|0|DEFAULT|28.7|129|64T64R|34.9|NR AAU 2\n0033164|24|128.188958|32.581776|235|15|9|0|DEFAULT|22.1|368|32T32R|34.9|NR AAU 1\n0033164|27|128.189155|32.58094|260|44|9|0|DEFAULT|29.7|71|32T32R|34.9|NR AAU 1\n0034036|14|128.200652|32.594683|0|0|255|0|EXPAND_SCENARIO_2|0.0|868|4T4R|46.0|Other\n0033164|12|128.190042|32.583484|45|6|4|0|DEFAULT|22.0|151|64T64R|34.9|NR AAU 2\n0033164|26|128.189174|32.580984|60|2|9|0|DEFAULT|26.6|307|32T32R|34.9|NR AAU 1\n0000293|0|128.175807|32.58945|192|9|7|0|SCENARIO_9|3.0|660|64T64R|34.9|NR AAU 2\n0034039|3|128.191929|32.578763|290|39|255|0|DEFAULT|123.0|498|64T64R|34.9|NR AAU 2\n0034039|4|128.192385|32.578738|255|20|255|0|DEFAULT|111.0|656|64T64R|34.9|NR AAU 2"
},
{
"role": "assistant",
"content": "C1"
}
] |
[
{
"role": "system",
"content": "You are an advanced Edge AI assistant specialized in Root Cause Analysis and Fault Detection for telecom networks, particularly 5G/6G drive-test and operational data.\nYour primary task is to perform Anomaly Detection and Root Cause Analysis on user-provided drive-test logs, engineering parameters, KPIs, and related tabular or textual data. Using your capabilities as a Large Language Model, you must:\n\nCarefully examine signal metrics (e.g., RSRP, SINR, throughput, RB allocation), handover events, PCI configurations, cell coverage parameters, vehicle speed, and any other relevant indicators.\nIdentify performance anomalies (e.g., sudden throughput drops, low SINR despite good RSRP, frequent handovers).\nDetermine the most likely root cause from a predefined set of possibilities (e.g., overshooting, interference, weak coverage, resource limitation, etc.).\nProvide clear, step-by-step reasoning that references specific values and patterns in the data.\nConclude every analysis with the final root cause enclosed in \boxed{} format (e.g., \boxed{C2}).\n\nAlways prioritize evidence-based reasoning over assumptions. When multiple causes appear possible, rank them by likelihood and select the that one is the most probable. Leverage Edge AI principles by delivering fast, accurate, and explainable diagnostics that could run efficiently on resource-constrained devices at the network edge.\nRespond only with the final boxed answer; do not add unnecessary conversation"
},
{
"role": "user",
"content": "Analyze the 5G wireless network drive-test user plane data and engineering parameters.\nIdentify the reason for the throughput dropping below 600Mbps in certain road sections.\nFrom the following 8 potential root causes, select the most likely one and enclose its number in \\boxed{{}} in the final answer.\n\nC1: The serving cell's downtilt angle is too large, causing weak coverage at the far end.\nC2: The serving cell's coverage distance exceeds 1km, resulting in over-shooting.\nC3: A neighboring cell provides higher throughput.\nC4: Non-colocated co-frequency neighboring cells cause severe overlapping coverage.\nC5: Frequent handovers degrade performance.\nC6: Neighbor cell and serving cell have the same PCI mod 30, leading to interference.\nC7: Test vehicle speed exceeds 40km/h, impacting user throughput.\nC8: Average scheduled RBs are below 160, affecting throughput.\n\nGiven:\n- The default electronic downtilt value is 255, representing a downtilt angle of 6 degrees. Other values represent the actual downtilt angle in degrees.\n\nBeam Scenario and Vertical Beamwidth Relationships:\n- When the cell's Beam Scenario is set to Default or SCENARIO_1 to SCENARIO_5, the vertical beamwidth is 6 degrees.\n- When the cell's Beam Scenario is set to SCENARIO_6 to SCENARIO_11, the vertical beamwidth is 12 degrees.\n- When the cell's Beam Scenario is set to SCENARIO_12 or above, the vertical beamwidth is 25 degrees.\n\nUser plane drive test data as follows：\n\nTimestamp|Longitude|Latitude|GPS Speed (km/h)|5G KPI PCell RF Serving PCI|5G KPI PCell RF Serving SS-RSRP [dBm]|5G KPI PCell RF Serving SS-SINR [dB]|5G KPI PCell Layer2 MAC DL Throughput [Mbps]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 1 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 2 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 3 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 4 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 5 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 1 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 2 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 3 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 4 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 5 Filtered Tx BRSRP [dBm]|5G KPI PCell Layer1 DL RB Num (Including 0)\n2025-05-07 14:24:22.000000|128.186911|32.584055|24|330|-86.56|22.51|964.18|591|660|-|-|-|-108.59|-114.77|-|-|-|202.7\n2025-05-07 14:24:23.000000|128.186911|32.584055|5|330|-86.01|21.17|797.53|591|660|-|-|-|-107.89|-116.76|-|-|-|207.17\n2025-05-07 14:24:24.000000|128.185869|32.585626|8|330|-84.77|20.68|803.45|591|660|-|-|-|-106.98|-112.41|-|-|-|197.95\n2025-05-07 14:24:25.000000|128.186911|32.584055|10|660|-85.11|19.91|258.08|591|330|-|-|-|-105.19|-115.77|-|-|-|186.76\n2025-05-07 14:24:26.000000|128.186911|32.584055|26|660|-87.1|22.06|330.57|591|330|-|-|-|-105.13|-115.44|-|-|-|210.03\n2025-05-07 14:24:27.000000|128.186911|32.584055|4|660|-89.17|20.81|369.32|330|591|-|-|-|-107.06|-116.01|-|-|-|206.82\n2025-05-07 14:24:28.000000|128.186911|32.584055|24|660|-89.4|20.93|396.12|330|591|-|-|-|-105.7|-115.88|-|-|-|209.6\n2025-05-07 14:24:29.000000|128.186911|32.584055|36|591|-87.05|21.71|911.82|330|660|597|-|-|-104.9|-114.01|-118.61|-|-|205.73\n2025-05-07 14:24:30.000000|128.186911|32.584055|16|591|-84.2|22.14|893.16|330|660|-|-|-|-104.21|-116.47|-|-|-|205.63\n2025-05-07 14:24:31.000000|128.186911|32.584055|36|591|-86.77|20.48|993.16|330|660|597|-|-|-105.03|-115.41|-122.84|-|-|209.06\n\n\nEngeneering parameters data as follows：\n\ngNodeB ID|Cell ID|Longitude|Latitude|Mechanical Azimuth|Mechanical Downtilt|Digital Tilt|Digital Azimuth|Beam Scenario|Height|PCI|TxRx Mode|Max Transmit Power|Antenna Model\n0000293|0|128.203985|32.589187|192|9|7|0|SCENARIO_9|3.0|660|64T64R|34.9|NR AAU 2\n0033164|5|128.186986|32.585957|170|5|9|0|DEFAULT|51.1|591|32T32R|34.9|NR AAU 3\n0033286|14|128.179948|32.574116|60|7|13|0|SCENARIO_3|56.0|597|32T32R|34.9|NR AAU 3\n0033164|4|128.18644|32.584389|120|14|13|10|SCENARIO_4|52.9|330|32T32R|34.9|NR AAU 3"
},
{
"role": "assistant",
"content": "C2"
}
] |
[
{
"role": "system",
"content": "You are an advanced Edge AI assistant specialized in Root Cause Analysis and Fault Detection for telecom networks, particularly 5G/6G drive-test and operational data.\nYour primary task is to perform Anomaly Detection and Root Cause Analysis on user-provided drive-test logs, engineering parameters, KPIs, and related tabular or textual data. Using your capabilities as a Large Language Model, you must:\n\nCarefully examine signal metrics (e.g., RSRP, SINR, throughput, RB allocation), handover events, PCI configurations, cell coverage parameters, vehicle speed, and any other relevant indicators.\nIdentify performance anomalies (e.g., sudden throughput drops, low SINR despite good RSRP, frequent handovers).\nDetermine the most likely root cause from a predefined set of possibilities (e.g., overshooting, interference, weak coverage, resource limitation, etc.).\nProvide clear, step-by-step reasoning that references specific values and patterns in the data.\nConclude every analysis with the final root cause enclosed in \boxed{} format (e.g., \boxed{C2}).\n\nAlways prioritize evidence-based reasoning over assumptions. When multiple causes appear possible, rank them by likelihood and select the that one is the most probable. Leverage Edge AI principles by delivering fast, accurate, and explainable diagnostics that could run efficiently on resource-constrained devices at the network edge.\nRespond only with the final boxed answer; do not add unnecessary conversation"
},
{
"role": "user",
"content": "Analyze the 5G wireless network drive-test user plane data and engineering parameters.\nIdentify the reason for the throughput dropping below 600Mbps in certain road sections.\nFrom the following 8 potential root causes, select the most likely one and enclose its number in \\boxed{{}} in the final answer.\n\nC1: The serving cell's downtilt angle is too large, causing weak coverage at the far end.\nC2: The serving cell's coverage distance exceeds 1km, resulting in over-shooting.\nC3: A neighboring cell provides higher throughput.\nC4: Non-colocated co-frequency neighboring cells cause severe overlapping coverage.\nC5: Frequent handovers degrade performance.\nC6: Neighbor cell and serving cell have the same PCI mod 30, leading to interference.\nC7: Test vehicle speed exceeds 40km/h, impacting user throughput.\nC8: Average scheduled RBs are below 160, affecting throughput.\n\nGiven:\n- The default electronic downtilt value is 255, representing a downtilt angle of 6 degrees. Other values represent the actual downtilt angle in degrees.\n\nBeam Scenario and Vertical Beamwidth Relationships:\n- When the cell's Beam Scenario is set to Default or SCENARIO_1 to SCENARIO_5, the vertical beamwidth is 6 degrees.\n- When the cell's Beam Scenario is set to SCENARIO_6 to SCENARIO_11, the vertical beamwidth is 12 degrees.\n- When the cell's Beam Scenario is set to SCENARIO_12 or above, the vertical beamwidth is 25 degrees.\n\nUser plane drive test data as follows：\n\nTimestamp|Longitude|Latitude|GPS Speed (km/h)|5G KPI PCell RF Serving PCI|5G KPI PCell RF Serving SS-RSRP [dBm]|5G KPI PCell RF Serving SS-SINR [dB]|5G KPI PCell Layer2 MAC DL Throughput [Mbps]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 1 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 2 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 3 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 4 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 5 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 1 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 2 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 3 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 4 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 5 Filtered Tx BRSRP [dBm]|5G KPI PCell Layer1 DL RB Num (Including 0)\n2025-05-07 15:18:52.000000|128.188581|32.583168|7|151|-87.21|10.23|1209.14|330|338|-|-|-|-99.53|-106.66|-|-|-|209.18\n2025-05-07 15:18:53.000000|128.188595|32.583168|18|151|-87.05|10.61|1275.45|330|338|868|-|-|-98.78|-104.62|-110.14|-|-|207.86\n2025-05-07 15:18:54.000000|128.188616|32.583157|25|151|-84.47|10.43|1214.03|330|338|868|-|-|-99.88|-106.8|-116.79|-|-|205.2\n2025-05-07 15:18:55.000000|128.188638|32.583157|32|151|-87.37|10.33|1172.05|330|338|982|-|-|-100.29|-104.1|-115.42|-|-|200.28\n2025-05-07 15:18:56.000000|128.188652|32.583156|1|338|-85.42|9.72|495.81|330|151|-|-|-|-100.3|-105.69|-|-|-|210.48\n2025-05-07 15:18:57.000000|128.188674|32.583148|30|338|-87.14|8.82|460.17|330|151|868|982|-|-98.44|-107.56|-110.58|-115.33|-|210.62\n2025-05-07 15:18:58.000000|128.188695|32.583148|4|338|-89.4|8.44|407.35|151|330|-|-|-|-96.89|-106.17|-|-|-|208.29\n2025-05-07 15:18:59.000000|128.189412|32.58311|0|338|-82.13|10.56|475.98|151|330|-|-|-|-93.27|-105.91|-|-|-|206.48\n2025-05-07 15:19:00.000000|128.188709|32.583148|23|330|-81.97|10.79|1202.48|151|338|-|-|-|-96.46|-108.0|-|-|-|209.94\n2025-05-07 15:19:01.000000|128.188717|32.583136|18|330|-77.82|17.05|1301.84|151|338|-|-|-|-96.59|-104.85|-|-|-|210.27\n\n\nEngeneering parameters data as follows：\n\ngNodeB ID|Cell ID|Longitude|Latitude|Mechanical Azimuth|Mechanical Downtilt|Digital Tilt|Digital Azimuth|Beam Scenario|Height|PCI|TxRx Mode|Max Transmit Power|Antenna Model\n0000293|0|128.176065|32.589488|192|9|7|0|SCENARIO_9|3.0|660|64T64R|34.9|NR AAU 2\n0033918|26|128.220405|32.582273|310|0|8|-15|SCENARIO_3|15.4|338|64T64R|34.9|NR AAU 2\n0033164|12|128.190299|32.583521|250|5|4|0|DEFAULT|22.0|151|64T64R|34.9|NR AAU 2\n0033164|4|128.186719|32.584429|162|14|13|10|SCENARIO_4|52.9|330|32T32R|34.9|NR AAU 3\n0034036|14|128.20091|32.594721|0|0|255|0|EXPAND_SCENARIO_2|0.0|868|4T4R|46.0|Other\n0033166|25|128.189771|32.574208|330|17|9|-5|SCENARIO_2|31.1|265|64T64R|34.9|NR AAU 2"
},
{
"role": "assistant",
"content": "C2"
}
] |
[
{
"role": "system",
"content": "You are an advanced Edge AI assistant specialized in Root Cause Analysis and Fault Detection for telecom networks, particularly 5G/6G drive-test and operational data.\nYour primary task is to perform Anomaly Detection and Root Cause Analysis on user-provided drive-test logs, engineering parameters, KPIs, and related tabular or textual data. Using your capabilities as a Large Language Model, you must:\n\nCarefully examine signal metrics (e.g., RSRP, SINR, throughput, RB allocation), handover events, PCI configurations, cell coverage parameters, vehicle speed, and any other relevant indicators.\nIdentify performance anomalies (e.g., sudden throughput drops, low SINR despite good RSRP, frequent handovers).\nDetermine the most likely root cause from a predefined set of possibilities (e.g., overshooting, interference, weak coverage, resource limitation, etc.).\nProvide clear, step-by-step reasoning that references specific values and patterns in the data.\nConclude every analysis with the final root cause enclosed in \boxed{} format (e.g., \boxed{C2}).\n\nAlways prioritize evidence-based reasoning over assumptions. When multiple causes appear possible, rank them by likelihood and select the that one is the most probable. Leverage Edge AI principles by delivering fast, accurate, and explainable diagnostics that could run efficiently on resource-constrained devices at the network edge.\nRespond only with the final boxed answer; do not add unnecessary conversation"
},
{
"role": "user",
"content": "Analyze the 5G wireless network drive-test user plane data and engineering parameters.\nIdentify the reason for the throughput dropping below 600Mbps in certain road sections.\nFrom the following 8 potential root causes, select the most likely one and enclose its number in \\boxed{{}} in the final answer.\n\nC1: The serving cell's downtilt angle is too large, causing weak coverage at the far end.\nC2: The serving cell's coverage distance exceeds 1km, resulting in over-shooting.\nC3: A neighboring cell provides higher throughput.\nC4: Non-colocated co-frequency neighboring cells cause severe overlapping coverage.\nC5: Frequent handovers degrade performance.\nC6: Neighbor cell and serving cell have the same PCI mod 30, leading to interference.\nC7: Test vehicle speed exceeds 40km/h, impacting user throughput.\nC8: Average scheduled RBs are below 160, affecting throughput.\n\nGiven:\n- The default electronic downtilt value is 255, representing a downtilt angle of 6 degrees. Other values represent the actual downtilt angle in degrees.\n\nBeam Scenario and Vertical Beamwidth Relationships:\n- When the cell's Beam Scenario is set to Default or SCENARIO_1 to SCENARIO_5, the vertical beamwidth is 6 degrees.\n- When the cell's Beam Scenario is set to SCENARIO_6 to SCENARIO_11, the vertical beamwidth is 12 degrees.\n- When the cell's Beam Scenario is set to SCENARIO_12 or above, the vertical beamwidth is 25 degrees.\n\nUser plane drive test data as follows：\n\nTimestamp|Longitude|Latitude|GPS Speed (km/h)|5G KPI PCell RF Serving PCI|5G KPI PCell RF Serving SS-RSRP [dBm]|5G KPI PCell RF Serving SS-SINR [dB]|5G KPI PCell Layer2 MAC DL Throughput [Mbps]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 1 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 2 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 3 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 4 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 5 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 1 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 2 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 3 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 4 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 5 Filtered Tx BRSRP [dBm]|5G KPI PCell Layer1 DL RB Num (Including 0)\n2025-05-07 13:41:42.000000|128.197229|32.585111|31|441|-78.52|10.36|1136.62|226|13|480|-|-|-88.11|-96.63|-103.23|-|-|178.59\n2025-05-07 13:41:43.000000|128.198455|32.584408|29|441|-82.88|5.69|626.36|226|13|-|-|-|-82.35|-95.78|-|-|-|208.72\n2025-05-07 13:41:44.000000|128.197237|32.58508|21|441|-82.34|3.9|1143.77|226|13|793|-|-|-81.24|-96.17|-102.33|-|-|210.15\n2025-05-07 13:41:45.000000|128.197229|32.585069|32|441|-84.55|10.32|319.87|226|13|-|-|-|-79.82|-93.49|-|-|-|183.63\n2025-05-07 13:41:46.000000|128.197229|32.585038|30|226|-76.96|10.88|435.1|441|13|-|-|-|-87.35|-100.68|-|-|-|192.84\n2025-05-07 13:41:47.000000|128.197222|32.585019|3|441|-85.45|4.44|449.48|226|13|747|-|-|-91.41|-99.31|-104.23|-|-|206.35\n2025-05-07 13:41:48.000000|128.197222|32.585|26|226|-78.13|6.39|412.46|441|13|747|-|-|-86.45|-97.39|-103.7|-|-|191.74\n2025-05-07 13:41:49.000000|128.197207|32.584973|10|226|-75.37|11.83|1137.89|441|13|747|-|-|-88.84|-99.01|-103.8|-|-|198.58\n2025-05-07 13:41:50.000000|128.197192|32.58495|24|226|-69.9|16.38|1134.6|441|13|-|-|-|-84.99|-96.59|-|-|-|189.86\n2025-05-07 13:41:51.000000|128.197177|32.584912|8|226|-71.06|19.89|1097.91|441|13|747|-|-|-86.48|-99.45|-106.34|-|-|194.06\n\n\nEngeneering parameters data as follows：\n\ngNodeB ID|Cell ID|Longitude|Latitude|Mechanical Azimuth|Mechanical Downtilt|Digital Tilt|Digital Azimuth|Beam Scenario|Height|PCI|TxRx Mode|Max Transmit Power|Antenna Model\n0033918|38|128.195582|32.586069|180|20|6|0|SCENARIO_12|15.0|226|32T32R|34.9|NR AAU 1\n0033917|3|128.193759|32.576617|320|13|7|5|SCENARIO_2|31.5|264|64T64R|34.9|NR AAU 2\n0033913|25|128.208989|32.574724|10|16|13|10|SCENARIO_2|3.0|793|64T64R|34.9|NR AAU 2\n0033984|4|128.190867|32.589488|130|10|255|0|DEFAULT|78.0|480|64T64R|34.9|NR AAU 2\n0033918|13|128.197412|32.586605|180|2|0|0|SCENARIO_4|8.5|441|64T64R|34.9|NR AAU 2\n0033918|53|128.193256|32.586476|60|20|5|0|DEFAULT|38.0|688|32T32R|34.9|NR AAU 3\n0033980|38|128.198662|32.589556|295|12|6|0|SCENARIO_12|20.0|13|64T64R|34.9|NR AAU 2"
},
{
"role": "assistant",
"content": "C5"
}
] |
[
{
"role": "system",
"content": "You are an advanced Edge AI assistant specialized in Root Cause Analysis and Fault Detection for telecom networks, particularly 5G/6G drive-test and operational data.\nYour primary task is to perform Anomaly Detection and Root Cause Analysis on user-provided drive-test logs, engineering parameters, KPIs, and related tabular or textual data. Using your capabilities as a Large Language Model, you must:\n\nCarefully examine signal metrics (e.g., RSRP, SINR, throughput, RB allocation), handover events, PCI configurations, cell coverage parameters, vehicle speed, and any other relevant indicators.\nIdentify performance anomalies (e.g., sudden throughput drops, low SINR despite good RSRP, frequent handovers).\nDetermine the most likely root cause from a predefined set of possibilities (e.g., overshooting, interference, weak coverage, resource limitation, etc.).\nProvide clear, step-by-step reasoning that references specific values and patterns in the data.\nConclude every analysis with the final root cause enclosed in \boxed{} format (e.g., \boxed{C2}).\n\nAlways prioritize evidence-based reasoning over assumptions. When multiple causes appear possible, rank them by likelihood and select the that one is the most probable. Leverage Edge AI principles by delivering fast, accurate, and explainable diagnostics that could run efficiently on resource-constrained devices at the network edge.\nRespond only with the final boxed answer; do not add unnecessary conversation"
},
{
"role": "user",
"content": "Analyze the 5G wireless network drive-test user plane data and engineering parameters.\nIdentify the reason for the throughput dropping below 600Mbps in certain road sections.\nFrom the following 8 potential root causes, select the most likely one and enclose its number in \\boxed{{}} in the final answer.\n\nC1: The serving cell's downtilt angle is too large, causing weak coverage at the far end.\nC2: The serving cell's coverage distance exceeds 1km, resulting in over-shooting.\nC3: A neighboring cell provides higher throughput.\nC4: Non-colocated co-frequency neighboring cells cause severe overlapping coverage.\nC5: Frequent handovers degrade performance.\nC6: Neighbor cell and serving cell have the same PCI mod 30, leading to interference.\nC7: Test vehicle speed exceeds 40km/h, impacting user throughput.\nC8: Average scheduled RBs are below 160, affecting throughput.\n\nGiven:\n- The default electronic downtilt value is 255, representing a downtilt angle of 6 degrees. Other values represent the actual downtilt angle in degrees.\n\nBeam Scenario and Vertical Beamwidth Relationships:\n- When the cell's Beam Scenario is set to Default or SCENARIO_1 to SCENARIO_5, the vertical beamwidth is 6 degrees.\n- When the cell's Beam Scenario is set to SCENARIO_6 to SCENARIO_11, the vertical beamwidth is 12 degrees.\n- When the cell's Beam Scenario is set to SCENARIO_12 or above, the vertical beamwidth is 25 degrees.\n\nUser plane drive test data as follows：\n\nTimestamp|Longitude|Latitude|GPS Speed (km/h)|5G KPI PCell RF Serving PCI|5G KPI PCell RF Serving SS-RSRP [dBm]|5G KPI PCell RF Serving SS-SINR [dB]|5G KPI PCell Layer2 MAC DL Throughput [Mbps]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 1 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 2 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 3 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 4 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 5 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 1 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 2 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 3 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 4 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 5 Filtered Tx BRSRP [dBm]|5G KPI PCell Layer1 DL RB Num (Including 0)\n2025-05-07 16:33:26.000000|128.187017|32.582126|22|217|-85.51|2.85|1008.9|96|185|265|71|-|-81.93|-102.91|-104.86|-113.71|-|199.75\n2025-05-07 16:33:27.000000|128.187031|32.582106|20|217|-79.09|7.62|862.89|96|185|265|-|-|-90.45|-98.36|-104.22|-|-|181.18\n2025-05-07 16:33:28.000000|128.187052|32.582099|5|217|-77.71|10.27|1073.07|96|185|71|-|-|-86.2|-99.07|-104.98|-|-|210.59\n2025-05-07 16:33:29.000000|128.187066|32.582076|25|217|-79.19|7.03|392.58|96|185|265|-|-|-87.4|-101.61|-109.44|-|-|104.955\n2025-05-07 16:33:30.000000|128.187095|32.582056|22|217|-83.61|5.75|358.8|96|185|498|-|-|-83.87|-98.91|-111.79|-|-|105.585\n2025-05-07 16:33:31.000000|128.187123|32.582037|16|96|-88.85|1.21|263.23|217|185|-|-|-|-83.2|-95.44|-|-|-|105.425\n2025-05-07 16:33:32.000000|128.187166|32.582006|21|96|-80.0|11.88|142.13|217|185|-|-|-|-90.15|-102.74|-|-|-|97.225\n2025-05-07 16:33:33.000000|128.187194|32.581963|21|96|-81.92|15.24|1199.28|217|185|435|-|-|-89.76|-102.32|-111.48|-|-|204.47\n2025-05-07 16:33:34.000000|128.18723|32.581937|13|96|-79.16|11.86|1058.15|217|185|982|435|660|-89.49|-101.18|-108.03|-114.91|-121.71|203.55\n2025-05-07 16:33:35.000000|128.187257|32.581883|34|96|-85.31|8.49|1066.42|217|185|982|498|330|-89.22|-98.53|-105.78|-116.86|-124.92|206.97\n\n\nEngeneering parameters data as follows：\n\ngNodeB ID|Cell ID|Longitude|Latitude|Mechanical Azimuth|Mechanical Downtilt|Digital Tilt|Digital Azimuth|Beam Scenario|Height|PCI|TxRx Mode|Max Transmit Power|Antenna Model\n0034036|14|128.200576|32.594672|0|0|255|0|EXPAND_SCENARIO_2|0.0|868|4T4R|46.0|Other\n0033978|12|128.195719|32.588857|55|9|255|0|DEFAULT|39.2|435|32T32R|34.9|NR AAU 3\n0033317|14|128.185208|32.579657|55|10|11|0|DEFAULT|25.9|96|64T64R|34.9|NR AAU 2\n0033166|25|128.189436|32.57416|330|17|9|-5|SCENARIO_2|31.1|265|64T64R|34.9|NR AAU 2\n0033164|27|128.189078|32.580929|240|3|10|0|DEFAULT|29.7|71|32T32R|34.9|NR AAU 1\n0033317|13|128.186903|32.580639|0|0|6|0|DEFAULT|17.4|217|32T32R|34.9|NR AAU 1\n0033164|29|128.185294|32.581599|195|8|12|0|DEFAULT|31.6|185|32T32R|34.9|NR AAU 1\n0033162|2|128.186098|32.566462|300|8|12|0|DEFAULT|34.0|106|64T64R|34.9|NR AAU 2\n0000293|0|128.17573|32.589439|192|9|7|0|SCENARIO_9|3.0|660|64T64R|34.9|NR AAU 2\n0034039|3|128.191853|32.578751|290|39|255|0|DEFAULT|123.0|498|64T64R|34.9|NR AAU 2\n0033164|4|128.186385|32.584381|162|14|13|10|SCENARIO_4|52.9|330|32T32R|34.9|NR AAU 3"
},
{
"role": "assistant",
"content": "C8"
}
] |
[
{
"role": "system",
"content": "You are an advanced Edge AI assistant specialized in Root Cause Analysis and Fault Detection for telecom networks, particularly 5G/6G drive-test and operational data.\nYour primary task is to perform Anomaly Detection and Root Cause Analysis on user-provided drive-test logs, engineering parameters, KPIs, and related tabular or textual data. Using your capabilities as a Large Language Model, you must:\n\nCarefully examine signal metrics (e.g., RSRP, SINR, throughput, RB allocation), handover events, PCI configurations, cell coverage parameters, vehicle speed, and any other relevant indicators.\nIdentify performance anomalies (e.g., sudden throughput drops, low SINR despite good RSRP, frequent handovers).\nDetermine the most likely root cause from a predefined set of possibilities (e.g., overshooting, interference, weak coverage, resource limitation, etc.).\nProvide clear, step-by-step reasoning that references specific values and patterns in the data.\nConclude every analysis with the final root cause enclosed in \boxed{} format (e.g., \boxed{C2}).\n\nAlways prioritize evidence-based reasoning over assumptions. When multiple causes appear possible, rank them by likelihood and select the that one is the most probable. Leverage Edge AI principles by delivering fast, accurate, and explainable diagnostics that could run efficiently on resource-constrained devices at the network edge.\nRespond only with the final boxed answer; do not add unnecessary conversation"
},
{
"role": "user",
"content": "Analyze the 5G wireless network drive-test user plane data and engineering parameters.\nIdentify the reason for the throughput dropping below 600Mbps in certain road sections.\nFrom the following 8 potential root causes, select the most likely one and enclose its number in \\boxed{{}} in the final answer.\n\nC1: The serving cell's downtilt angle is too large, causing weak coverage at the far end.\nC2: The serving cell's coverage distance exceeds 1km, resulting in over-shooting.\nC3: A neighboring cell provides higher throughput.\nC4: Non-colocated co-frequency neighboring cells cause severe overlapping coverage.\nC5: Frequent handovers degrade performance.\nC6: Neighbor cell and serving cell have the same PCI mod 30, leading to interference.\nC7: Test vehicle speed exceeds 40km/h, impacting user throughput.\nC8: Average scheduled RBs are below 160, affecting throughput.\n\nGiven:\n- The default electronic downtilt value is 255, representing a downtilt angle of 6 degrees. Other values represent the actual downtilt angle in degrees.\n\nBeam Scenario and Vertical Beamwidth Relationships:\n- When the cell's Beam Scenario is set to Default or SCENARIO_1 to SCENARIO_5, the vertical beamwidth is 6 degrees.\n- When the cell's Beam Scenario is set to SCENARIO_6 to SCENARIO_11, the vertical beamwidth is 12 degrees.\n- When the cell's Beam Scenario is set to SCENARIO_12 or above, the vertical beamwidth is 25 degrees.\n\nUser plane drive test data as follows：\n\nTimestamp|Longitude|Latitude|GPS Speed (km/h)|5G KPI PCell RF Serving PCI|5G KPI PCell RF Serving SS-RSRP [dBm]|5G KPI PCell RF Serving SS-SINR [dB]|5G KPI PCell Layer2 MAC DL Throughput [Mbps]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 1 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 2 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 3 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 4 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 5 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 1 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 2 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 3 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 4 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 5 Filtered Tx BRSRP [dBm]|5G KPI PCell Layer1 DL RB Num (Including 0)\n2025-05-07 13:19:22.000000|128.191983|32.583847|35|696|-85.59|11.39|870.72|338|151|498|983|400|-98.32|-100.24|-119.4|-124.28|-130.8|207.28\n2025-05-07 13:19:23.000000|128.192155|32.584437|0|696|-85.57|12.94|858.79|338|151|983|400|498|-94.26|-109.17|-113.99|-123.97|-127.8|205.25\n2025-05-07 13:19:24.000000|128.192068|32.583828|36|696|-84.98|9.86|981.94|338|151|983|400|498|-93.13|-107.89|-115.37|-118.02|-129.63|206.9\n2025-05-07 13:19:25.000000|128.192104|32.583827|20|696|-85.61|9.52|378.61|151|338|-|-|-|-88.15|-104.98|-|-|-|205.99\n2025-05-07 13:19:26.000000|128.192126|32.583827|14|696|-85.97|9.6|343.93|151|338|-|-|-|-88.16|-106.94|-|-|-|200.39\n2025-05-07 13:19:27.000000|128.192133|32.583827|21|338|-86.59|10.02|385.3|151|696|767|498|-|-89.21|-106.04|-113.43|-119.71|-|206.48\n2025-05-07 13:19:28.000000|128.192147|32.583827|16|338|-88.1|10.78|368.73|151|696|-|-|-|-91.01|-103.06|-|-|-|204.52\n2025-05-07 13:19:29.000000|128.192155|32.583838|20|338|-84.19|10.96|893.89|696|151|498|-|-|-95.62|-105.32|-111.93|-|-|204.28\n2025-05-07 13:19:30.000000|128.192162|32.583846|23|338|-79.65|13.03|853.4|696|151|-|-|-|-96.19|-104.82|-|-|-|200.8\n2025-05-07 13:19:31.000000|128.192177|32.583857|35|338|-83.0|11.29|804.74|696|151|400|-|-|-96.15|-102.78|-113.47|-|-|196.42\n\n\nEngeneering parameters data as follows：\n\ngNodeB ID|Cell ID|Longitude|Latitude|Mechanical Azimuth|Mechanical Downtilt|Digital Tilt|Digital Azimuth|Beam Scenario|Height|PCI|TxRx Mode|Max Transmit Power|Antenna Model\n0000293|0|128.175845|32.589456|192|9|7|0|SCENARIO_9|3.0|660|64T64R|34.9|NR AAU 2\n0033918|29|128.193585|32.584492|180|11|9|0|DEFAULT|44.7|432|32T32R|34.9|NR AAU 3\n0033164|12|128.19008|32.583489|45|6|4|0|DEFAULT|22.0|151|64T64R|34.9|NR AAU 2\n0034039|3|128.191968|32.578768|290|39|255|0|DEFAULT|123.0|498|64T64R|34.9|NR AAU 2\n0033918|24|128.193637|32.58222|350|4|12|0|DEFAULT|22.7|983|64T64R|34.9|NR AAU 2\n0033918|28|128.193555|32.584481|304|12|9|0|SCENARIO_8|42.7|400|32T32R|34.9|NR AAU 1\n0033918|52|128.192047|32.582532|350|7|0|0|DEFAULT|18.6|696|32T32R|34.9|NR AAU 1\n0033918|26|128.191985|32.582501|310|0|8|-15|SCENARIO_3|15.4|338|64T64R|34.9|NR AAU 2\n0033984|1|128.190497|32.589411|230|10|255|0|DEFAULT|78.0|767|64T64R|34.9|NR AAU 2"
},
{
"role": "assistant",
"content": "C4"
}
] |
[
{
"role": "system",
"content": "You are an advanced Edge AI assistant specialized in Root Cause Analysis and Fault Detection for telecom networks, particularly 5G/6G drive-test and operational data.\nYour primary task is to perform Anomaly Detection and Root Cause Analysis on user-provided drive-test logs, engineering parameters, KPIs, and related tabular or textual data. Using your capabilities as a Large Language Model, you must:\n\nCarefully examine signal metrics (e.g., RSRP, SINR, throughput, RB allocation), handover events, PCI configurations, cell coverage parameters, vehicle speed, and any other relevant indicators.\nIdentify performance anomalies (e.g., sudden throughput drops, low SINR despite good RSRP, frequent handovers).\nDetermine the most likely root cause from a predefined set of possibilities (e.g., overshooting, interference, weak coverage, resource limitation, etc.).\nProvide clear, step-by-step reasoning that references specific values and patterns in the data.\nConclude every analysis with the final root cause enclosed in \boxed{} format (e.g., \boxed{C2}).\n\nAlways prioritize evidence-based reasoning over assumptions. When multiple causes appear possible, rank them by likelihood and select the that one is the most probable. Leverage Edge AI principles by delivering fast, accurate, and explainable diagnostics that could run efficiently on resource-constrained devices at the network edge.\nRespond only with the final boxed answer; do not add unnecessary conversation"
},
{
"role": "user",
"content": "Analyze the 5G wireless network drive-test user plane data and engineering parameters.\nIdentify the reason for the throughput dropping below 600Mbps in certain road sections.\nFrom the following 8 potential root causes, select the most likely one and enclose its number in \\boxed{{}} in the final answer.\n\nC1: The serving cell's downtilt angle is too large, causing weak coverage at the far end.\nC2: The serving cell's coverage distance exceeds 1km, resulting in over-shooting.\nC3: A neighboring cell provides higher throughput.\nC4: Non-colocated co-frequency neighboring cells cause severe overlapping coverage.\nC5: Frequent handovers degrade performance.\nC6: Neighbor cell and serving cell have the same PCI mod 30, leading to interference.\nC7: Test vehicle speed exceeds 40km/h, impacting user throughput.\nC8: Average scheduled RBs are below 160, affecting throughput.\n\nGiven:\n- The default electronic downtilt value is 255, representing a downtilt angle of 6 degrees. Other values represent the actual downtilt angle in degrees.\n\nBeam Scenario and Vertical Beamwidth Relationships:\n- When the cell's Beam Scenario is set to Default or SCENARIO_1 to SCENARIO_5, the vertical beamwidth is 6 degrees.\n- When the cell's Beam Scenario is set to SCENARIO_6 to SCENARIO_11, the vertical beamwidth is 12 degrees.\n- When the cell's Beam Scenario is set to SCENARIO_12 or above, the vertical beamwidth is 25 degrees.\n\nUser plane drive test data as follows：\n\nTimestamp|Longitude|Latitude|GPS Speed (km/h)|5G KPI PCell RF Serving PCI|5G KPI PCell RF Serving SS-RSRP [dBm]|5G KPI PCell RF Serving SS-SINR [dB]|5G KPI PCell Layer2 MAC DL Throughput [Mbps]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 1 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 2 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 3 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 4 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 5 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 1 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 2 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 3 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 4 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 5 Filtered Tx BRSRP [dBm]|5G KPI PCell Layer1 DL RB Num (Including 0)\n2025-05-07 13:36:52.000000|128.194661|32.583809|12|432|-75.56|5.91|771.58|400|835|226|498|477|-84.34|-91.37|-98.52|-106.02|-111.85|206.73\n2025-05-07 13:36:53.000000|128.194661|32.58379|10|432|-77.81|2.58|927.97|400|835|477|660|226|-76.47|-88.83|-104.25|-104.17|-115.96|209.81\n2025-05-07 13:36:54.000000|128.194646|32.583767|10|432|-77.86|8.61|625.93|400|835|477|498|660|-80.34|-83.03|-104.6|-103.9|-109.11|195.99\n2025-05-07 13:36:55.000000|128.194639|32.583736|6|432|-75.42|10.0|908.31|400|835|226|477|498|-81.47|-85.5|-103.48|-106.29|-118.53|210.48\n2025-05-07 13:36:56.000000|128.194653|32.583717|28|432|-82.85|7.78|1015.59|400|835|226|477|660|-81.05|-89.02|-102.55|-107.21|-116.39|211.39\n2025-05-07 13:36:57.000000|128.194667|32.583697|36|835|-81.98|9.42|416.23|400|432|498|660|226|-79.16|-88.27|-106.21|-108.31|-111.94|211.12\n2025-05-07 13:36:58.000000|128.194695|32.583674|8|835|-80.23|5.6|411.37|400|432|660|226|-|-81.87|-85.22|-102.57|-109.56|-|211.01\n2025-05-07 13:36:59.000000|128.194724|32.583655|31|835|-89.92|11.74|336.89|432|400|391|160|660|-79.99|-94.19|-103.46|-107.76|-115.36|200.15\n2025-05-07 13:37:00.000000|128.194767|32.583635|37|835|-71.49|23.94|439.31|432|400|660|-|-|-96.37|-104.13|-107.04|-|-|207.5\n2025-05-07 13:37:01.000000|128.194817|32.583616|24|400|-73.42|24.91|1176.49|432|835|160|-|-|-96.71|-105.52|-113.31|-|-|206.7\n\n\nEngeneering parameters data as follows：\n\ngNodeB ID|Cell ID|Longitude|Latitude|Mechanical Azimuth|Mechanical Downtilt|Digital Tilt|Digital Azimuth|Beam Scenario|Height|PCI|TxRx Mode|Max Transmit Power|Antenna Model\n0033918|29|128.193952|32.584545|140|11|9|0|DEFAULT|44.7|432|32T32R|34.9|NR AAU 3\n0033918|24|128.194004|32.582273|350|4|12|0|DEFAULT|22.7|983|64T64R|34.9|NR AAU 2\n0033918|38|128.195555|32.586066|180|20|6|0|SCENARIO_12|15.0|226|32T32R|34.9|NR AAU 1\n0034039|3|128.192335|32.578821|290|39|255|0|DEFAULT|123.0|498|64T64R|34.9|NR AAU 2\n0033918|25|128.194004|32.582273|215|2|255|0|DEFAULT|22.7|477|64T64R|34.9|NR AAU 2\n0000293|0|128.176213|32.589509|192|9|7|0|SCENARIO_9|3.0|660|64T64R|34.9|NR AAU 2\n0041363|1|128.201172|32.569632|0|0|255|0|EXPAND_SCENARIO_2|0.0|160|8T8R|46.0|Other\n0033916|0|128.226839|32.581993|291|16|255|0|DEFAULT|63.0|835|32T32R|34.9|NR AAU 3\n0033918|28|128.193923|32.584534|304|12|9|0|SCENARIO_8|42.7|400|32T32R|34.9|NR AAU 1"
},
{
"role": "assistant",
"content": "C2"
}
] |
[
{
"role": "system",
"content": "You are an advanced Edge AI assistant specialized in Root Cause Analysis and Fault Detection for telecom networks, particularly 5G/6G drive-test and operational data.\nYour primary task is to perform Anomaly Detection and Root Cause Analysis on user-provided drive-test logs, engineering parameters, KPIs, and related tabular or textual data. Using your capabilities as a Large Language Model, you must:\n\nCarefully examine signal metrics (e.g., RSRP, SINR, throughput, RB allocation), handover events, PCI configurations, cell coverage parameters, vehicle speed, and any other relevant indicators.\nIdentify performance anomalies (e.g., sudden throughput drops, low SINR despite good RSRP, frequent handovers).\nDetermine the most likely root cause from a predefined set of possibilities (e.g., overshooting, interference, weak coverage, resource limitation, etc.).\nProvide clear, step-by-step reasoning that references specific values and patterns in the data.\nConclude every analysis with the final root cause enclosed in \boxed{} format (e.g., \boxed{C2}).\n\nAlways prioritize evidence-based reasoning over assumptions. When multiple causes appear possible, rank them by likelihood and select the that one is the most probable. Leverage Edge AI principles by delivering fast, accurate, and explainable diagnostics that could run efficiently on resource-constrained devices at the network edge.\nRespond only with the final boxed answer; do not add unnecessary conversation"
},
{
"role": "user",
"content": "Analyze the 5G wireless network drive-test user plane data and engineering parameters.\nIdentify the reason for the throughput dropping below 600Mbps in certain road sections.\nFrom the following 8 potential root causes, select the most likely one and enclose its number in \\boxed{{}} in the final answer.\n\nC1: The serving cell's downtilt angle is too large, causing weak coverage at the far end.\nC2: The serving cell's coverage distance exceeds 1km, resulting in over-shooting.\nC3: A neighboring cell provides higher throughput.\nC4: Non-colocated co-frequency neighboring cells cause severe overlapping coverage.\nC5: Frequent handovers degrade performance.\nC6: Neighbor cell and serving cell have the same PCI mod 30, leading to interference.\nC7: Test vehicle speed exceeds 40km/h, impacting user throughput.\nC8: Average scheduled RBs are below 160, affecting throughput.\n\nGiven:\n- The default electronic downtilt value is 255, representing a downtilt angle of 6 degrees. Other values represent the actual downtilt angle in degrees.\n\nBeam Scenario and Vertical Beamwidth Relationships:\n- When the cell's Beam Scenario is set to Default or SCENARIO_1 to SCENARIO_5, the vertical beamwidth is 6 degrees.\n- When the cell's Beam Scenario is set to SCENARIO_6 to SCENARIO_11, the vertical beamwidth is 12 degrees.\n- When the cell's Beam Scenario is set to SCENARIO_12 or above, the vertical beamwidth is 25 degrees.\n\nUser plane drive test data as follows：\n\nTimestamp|Longitude|Latitude|GPS Speed (km/h)|5G KPI PCell RF Serving PCI|5G KPI PCell RF Serving SS-RSRP [dBm]|5G KPI PCell RF Serving SS-SINR [dB]|5G KPI PCell Layer2 MAC DL Throughput [Mbps]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 1 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 2 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 3 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 4 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 5 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 1 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 2 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 3 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 4 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 5 Filtered Tx BRSRP [dBm]|5G KPI PCell Layer1 DL RB Num (Including 0)\n2025-05-07 13:46:02.000000|128.196488|32.582909|5|44|-80.22|23.32|1201.11|113|432|660|441|-|-89.37|-106.73|-110.65|-118.97|-|210.23\n2025-05-07 13:46:03.000000|128.196492|32.581988|39|44|-81.9|21.38|1030.26|113|432|660|391|-|-87.6|-105.31|-112.93|-121.65|-|209.87\n2025-05-07 13:46:04.000000|128.196531|32.582877|2|44|-79.58|21.83|1146.15|113|432|-|-|-|-86.72|-104.08|-|-|-|210.44\n2025-05-07 13:46:05.000000|128.19656|32.582866|34|44|-80.1|20.45|1126.38|113|432|-|-|-|-89.11|-102.74|-|-|-|208.79\n2025-05-07 13:46:06.000000|128.196595|32.582847|30|44|-86.21|17.92|401.27|113|432|-|-|-|-90.08|-102.8|-|-|-|104.81\n2025-05-07 13:46:07.000000|128.196638|32.582826|2|44|-84.39|14.09|333.62|113|432|-|-|-|-87.97|-100.28|-|-|-|104.06\n2025-05-07 13:46:08.000000|128.196674|32.582807|6|113|-88.77|14.07|164.76|44|432|-|-|-|-83.1|-95.39|-|-|-|93.52\n2025-05-07 13:46:09.000000|128.196709|32.582784|3|113|-79.5|13.09|152.38|44|432|-|-|-|-91.83|-94.78|-|-|-|95.45\n2025-05-07 13:46:10.000000|128.196745|32.582764|12|113|-82.03|15.03|767.39|44|432|-|-|-|-92.52|-100.19|-|-|-|208.37\n2025-05-07 13:46:11.000000|128.196773|32.582757|5|113|-87.41|12.38|817.97|44|432|-|-|-|-94.86|-104.6|-|-|-|201.65\n\n\nEngeneering parameters data as follows：\n\ngNodeB ID|Cell ID|Longitude|Latitude|Mechanical Azimuth|Mechanical Downtilt|Digital Tilt|Digital Azimuth|Beam Scenario|Height|PCI|TxRx Mode|Max Transmit Power|Antenna Model\n0033980|38|128.198691|32.58956|295|12|6|0|SCENARIO_12|20.0|13|64T64R|34.9|NR AAU 2\n0033916|0|128.198694|32.582261|291|16|255|0|DEFAULT|63.0|835|32T32R|34.9|NR AAU 3\n0033916|5|128.198608|32.582133|215|14|9|0|SCENARIO_8|64.0|113|32T32R|34.9|NR AAU 1\n0033918|13|128.197441|32.586609|185|3|10|0|SCENARIO_4|8.5|441|64T64R|34.9|NR AAU 2\n0033918|29|128.194008|32.584553|180|11|9|0|DEFAULT|44.7|432|32T32R|34.9|NR AAU 3\n0033916|27|128.197086|32.582192|330|3|255|0|DEFAULT|14.0|44|32T32R|34.9|NR AAU 3"
},
{
"role": "assistant",
"content": "C8"
}
] |
[
{
"role": "system",
"content": "You are an advanced Edge AI assistant specialized in Root Cause Analysis and Fault Detection for telecom networks, particularly 5G/6G drive-test and operational data.\nYour primary task is to perform Anomaly Detection and Root Cause Analysis on user-provided drive-test logs, engineering parameters, KPIs, and related tabular or textual data. Using your capabilities as a Large Language Model, you must:\n\nCarefully examine signal metrics (e.g., RSRP, SINR, throughput, RB allocation), handover events, PCI configurations, cell coverage parameters, vehicle speed, and any other relevant indicators.\nIdentify performance anomalies (e.g., sudden throughput drops, low SINR despite good RSRP, frequent handovers).\nDetermine the most likely root cause from a predefined set of possibilities (e.g., overshooting, interference, weak coverage, resource limitation, etc.).\nProvide clear, step-by-step reasoning that references specific values and patterns in the data.\nConclude every analysis with the final root cause enclosed in \boxed{} format (e.g., \boxed{C2}).\n\nAlways prioritize evidence-based reasoning over assumptions. When multiple causes appear possible, rank them by likelihood and select the that one is the most probable. Leverage Edge AI principles by delivering fast, accurate, and explainable diagnostics that could run efficiently on resource-constrained devices at the network edge.\nRespond only with the final boxed answer; do not add unnecessary conversation"
},
{
"role": "user",
"content": "Analyze the 5G wireless network drive-test user plane data and engineering parameters.\nIdentify the reason for the throughput dropping below 600Mbps in certain road sections.\nFrom the following 8 potential root causes, select the most likely one and enclose its number in \\boxed{{}} in the final answer.\n\nC1: The serving cell's downtilt angle is too large, causing weak coverage at the far end.\nC2: The serving cell's coverage distance exceeds 1km, resulting in over-shooting.\nC3: A neighboring cell provides higher throughput.\nC4: Non-colocated co-frequency neighboring cells cause severe overlapping coverage.\nC5: Frequent handovers degrade performance.\nC6: Neighbor cell and serving cell have the same PCI mod 30, leading to interference.\nC7: Test vehicle speed exceeds 40km/h, impacting user throughput.\nC8: Average scheduled RBs are below 160, affecting throughput.\n\nGiven:\n- The default electronic downtilt value is 255, representing a downtilt angle of 6 degrees. Other values represent the actual downtilt angle in degrees.\n\nBeam Scenario and Vertical Beamwidth Relationships:\n- When the cell's Beam Scenario is set to Default or SCENARIO_1 to SCENARIO_5, the vertical beamwidth is 6 degrees.\n- When the cell's Beam Scenario is set to SCENARIO_6 to SCENARIO_11, the vertical beamwidth is 12 degrees.\n- When the cell's Beam Scenario is set to SCENARIO_12 or above, the vertical beamwidth is 25 degrees.\n\nUser plane drive test data as follows：\n\nTimestamp|Longitude|Latitude|GPS Speed (km/h)|5G KPI PCell RF Serving PCI|5G KPI PCell RF Serving SS-RSRP [dBm]|5G KPI PCell RF Serving SS-SINR [dB]|5G KPI PCell Layer2 MAC DL Throughput [Mbps]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 1 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 2 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 3 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 4 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 5 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 1 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 2 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 3 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 4 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 5 Filtered Tx BRSRP [dBm]|5G KPI PCell Layer1 DL RB Num (Including 0)\n2025-05-07 11:31:35.000000|128.19443|32.579984|37|482|-85.41|6.01|1364.09|462|868|-|-|-|-88.43|-97.23|-|-|-|206.16\n2025-05-07 11:31:36.000000|128.19443|32.579984|0|482|-84.22|5.41|1445.58|462|868|-|-|-|-87.99|-94.85|-|-|-|205.24\n2025-05-07 11:31:37.000000|128.19443|32.579984|31|482|-84.26|4.73|1235.61|462|868|-|-|-|-87.53|-95.82|-|-|-|207.86\n2025-05-07 11:31:38.000000|128.19443|32.579984|8|482|-85.78|7.39|1138.3|462|868|-|-|-|-85.19|-94.25|-|-|-|209.85\n2025-05-07 11:31:39.000000|128.19443|32.579984|31|482|-82.93|9.32|1343.73|462|868|-|-|-|-83.57|-94.32|-|-|-|209.13\n2025-05-07 11:31:40.000000|128.19443|32.579984|6|482|-85.32|6.48|474.8|462|868|-|-|-|-86.76|-92.8|-|-|-|104.5\n2025-05-07 11:31:41.000000|128.19443|32.579984|24|482|-87.25|4.8|544.64|462|868|-|-|-|-88.42|-93.73|-|-|-|104.18\n2025-05-07 11:31:42.000000|128.194395|32.580014|24|462|-86.53|8.13|594.68|482|868|-|-|-|-87.54|-96.77|-|-|-|103.91\n2025-05-07 11:31:43.000000|128.19443|32.579984|28|462|-87.63|11.78|576.68|482|868|155|-|-|-87.61|-93.25|-103.11|-|-|104.445\n2025-05-07 11:31:44.000000|128.19443|32.579984|10|462|-83.48|12.15|1389.74|482|868|155|-|-|-84.15|-95.21|-104.31|-|-|208.94\n\n\nEngeneering parameters data as follows：\n\ngNodeB ID|Cell ID|Longitude|Latitude|Mechanical Azimuth|Mechanical Downtilt|Digital Tilt|Digital Azimuth|Beam Scenario|Height|PCI|TxRx Mode|Max Transmit Power|Antenna Model\n0034036|14|128.201034|32.594738|0|0|255|0|EXPAND_SCENARIO_2|0.0|868|4T4R|46.0|Other\n0033917|26|128.194691|32.579743|110|4|9|0|DEFAULT|24.0|462|32T32R|34.9|NR AAU 3\n0033917|15|128.194711|32.57985|310|3|9|0|SCENARIO_9|24.0|482|32T32R|34.9|NR AAU 3\n0033917|40|128.193769|32.578927|195|4|9|5|SCENARIO_8|21.9|155|64T64R|34.9|NR AAU 2"
},
{
"role": "assistant",
"content": "C8"
}
] |
[
{
"role": "system",
"content": "You are an advanced Edge AI assistant specialized in Root Cause Analysis and Fault Detection for telecom networks, particularly 5G/6G drive-test and operational data.\nYour primary task is to perform Anomaly Detection and Root Cause Analysis on user-provided drive-test logs, engineering parameters, KPIs, and related tabular or textual data. Using your capabilities as a Large Language Model, you must:\n\nCarefully examine signal metrics (e.g., RSRP, SINR, throughput, RB allocation), handover events, PCI configurations, cell coverage parameters, vehicle speed, and any other relevant indicators.\nIdentify performance anomalies (e.g., sudden throughput drops, low SINR despite good RSRP, frequent handovers).\nDetermine the most likely root cause from a predefined set of possibilities (e.g., overshooting, interference, weak coverage, resource limitation, etc.).\nProvide clear, step-by-step reasoning that references specific values and patterns in the data.\nConclude every analysis with the final root cause enclosed in \boxed{} format (e.g., \boxed{C2}).\n\nAlways prioritize evidence-based reasoning over assumptions. When multiple causes appear possible, rank them by likelihood and select the that one is the most probable. Leverage Edge AI principles by delivering fast, accurate, and explainable diagnostics that could run efficiently on resource-constrained devices at the network edge.\nRespond only with the final boxed answer; do not add unnecessary conversation"
},
{
"role": "user",
"content": "Analyze the 5G wireless network drive-test user plane data and engineering parameters.\nIdentify the reason for the throughput dropping below 600Mbps in certain road sections.\nFrom the following 8 potential root causes, select the most likely one and enclose its number in \\boxed{{}} in the final answer.\n\nC1: The serving cell's downtilt angle is too large, causing weak coverage at the far end.\nC2: The serving cell's coverage distance exceeds 1km, resulting in over-shooting.\nC3: A neighboring cell provides higher throughput.\nC4: Non-colocated co-frequency neighboring cells cause severe overlapping coverage.\nC5: Frequent handovers degrade performance.\nC6: Neighbor cell and serving cell have the same PCI mod 30, leading to interference.\nC7: Test vehicle speed exceeds 40km/h, impacting user throughput.\nC8: Average scheduled RBs are below 160, affecting throughput.\n\nGiven:\n- The default electronic downtilt value is 255, representing a downtilt angle of 6 degrees. Other values represent the actual downtilt angle in degrees.\n\nBeam Scenario and Vertical Beamwidth Relationships:\n- When the cell's Beam Scenario is set to Default or SCENARIO_1 to SCENARIO_5, the vertical beamwidth is 6 degrees.\n- When the cell's Beam Scenario is set to SCENARIO_6 to SCENARIO_11, the vertical beamwidth is 12 degrees.\n- When the cell's Beam Scenario is set to SCENARIO_12 or above, the vertical beamwidth is 25 degrees.\n\nUser plane drive test data as follows：\n\nTimestamp|Longitude|Latitude|GPS Speed (km/h)|5G KPI PCell RF Serving PCI|5G KPI PCell RF Serving SS-RSRP [dBm]|5G KPI PCell RF Serving SS-SINR [dB]|5G KPI PCell Layer2 MAC DL Throughput [Mbps]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 1 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 2 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 3 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 4 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 5 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 1 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 2 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 3 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 4 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 5 Filtered Tx BRSRP [dBm]|5G KPI PCell Layer1 DL RB Num (Including 0)\n2025-05-07 14:15:22.000000|128.186911|32.584055|33|330|-91.8|21.51|677.76|591|660|597|-|-|-110.7|-119.62|-134.44|-|-|208.83\n2025-05-07 14:15:23.000000|128.186911|32.584055|16|330|-92.69|22.17|1126.34|591|660|-|-|-|-109.35|-119.19|-|-|-|206.41\n2025-05-07 14:15:24.000000|128.185869|32.585626|36|330|-90.31|22.08|270.69|591|660|-|-|-|-112.19|-116.31|-|-|-|204.41\n2025-05-07 14:15:25.000000|128.186911|32.584055|27|330|-91.04|21.48|338.15|591|660|-|-|-|-109.61|-117.13|-|-|-|197.54\n2025-05-07 14:15:26.000000|128.186911|32.584055|0|591|-87.68|21.67|331.24|330|660|-|-|-|-104.46|-112.38|-|-|-|195.74\n2025-05-07 14:15:27.000000|128.186911|32.584055|10|591|-83.41|23.7|400.83|330|660|597|-|-|-104.16|-111.95|-121.17|-|-|198.45\n2025-05-07 14:15:28.000000|128.186911|32.584055|22|591|-86.05|23.04|915.3|330|660|597|-|-|-104.7|-111.95|-125.18|-|-|196.95\n2025-05-07 14:15:29.000000|128.186911|32.584055|4|591|-84.59|22.07|838.15|330|660|-|-|-|-106.53|-112.75|-|-|-|182.99\n2025-05-07 14:15:30.000000|128.186911|32.584055|22|591|-85.38|22.3|825.33|330|660|-|-|-|-106.17|-110.82|-|-|-|194.47\n2025-05-07 14:15:31.000000|128.186911|32.584055|12|591|-85.94|23.97|624.83|330|660|-|-|-|-105.82|-113.24|-|-|-|200.84\n\n\nEngeneering parameters data as follows：\n\ngNodeB ID|Cell ID|Longitude|Latitude|Mechanical Azimuth|Mechanical Downtilt|Digital Tilt|Digital Azimuth|Beam Scenario|Height|PCI|TxRx Mode|Max Transmit Power|Antenna Model\n0000293|0|128.175335|32.589382|192|9|7|0|SCENARIO_9|3.0|660|64T64R|34.9|NR AAU 2\n0033164|5|128.186536|32.585892|170|5|9|0|DEFAULT|51.1|591|32T32R|34.9|NR AAU 3\n0033164|4|128.18599|32.584323|340|20|9|10|SCENARIO_4|52.9|330|32T32R|34.9|NR AAU 3\n0033286|14|128.179498|32.574051|60|7|13|0|SCENARIO_3|56.0|597|32T32R|34.9|NR AAU 3"
},
{
"role": "assistant",
"content": "C1"
}
] |
[
{
"role": "system",
"content": "You are an advanced Edge AI assistant specialized in Root Cause Analysis and Fault Detection for telecom networks, particularly 5G/6G drive-test and operational data.\nYour primary task is to perform Anomaly Detection and Root Cause Analysis on user-provided drive-test logs, engineering parameters, KPIs, and related tabular or textual data. Using your capabilities as a Large Language Model, you must:\n\nCarefully examine signal metrics (e.g., RSRP, SINR, throughput, RB allocation), handover events, PCI configurations, cell coverage parameters, vehicle speed, and any other relevant indicators.\nIdentify performance anomalies (e.g., sudden throughput drops, low SINR despite good RSRP, frequent handovers).\nDetermine the most likely root cause from a predefined set of possibilities (e.g., overshooting, interference, weak coverage, resource limitation, etc.).\nProvide clear, step-by-step reasoning that references specific values and patterns in the data.\nConclude every analysis with the final root cause enclosed in \boxed{} format (e.g., \boxed{C2}).\n\nAlways prioritize evidence-based reasoning over assumptions. When multiple causes appear possible, rank them by likelihood and select the that one is the most probable. Leverage Edge AI principles by delivering fast, accurate, and explainable diagnostics that could run efficiently on resource-constrained devices at the network edge.\nRespond only with the final boxed answer; do not add unnecessary conversation"
},
{
"role": "user",
"content": "Analyze the 5G wireless network drive-test user plane data and engineering parameters.\nIdentify the reason for the throughput dropping below 600Mbps in certain road sections.\nFrom the following 8 potential root causes, select the most likely one and enclose its number in \\boxed{{}} in the final answer.\n\nC1: The serving cell's downtilt angle is too large, causing weak coverage at the far end.\nC2: The serving cell's coverage distance exceeds 1km, resulting in over-shooting.\nC3: A neighboring cell provides higher throughput.\nC4: Non-colocated co-frequency neighboring cells cause severe overlapping coverage.\nC5: Frequent handovers degrade performance.\nC6: Neighbor cell and serving cell have the same PCI mod 30, leading to interference.\nC7: Test vehicle speed exceeds 40km/h, impacting user throughput.\nC8: Average scheduled RBs are below 160, affecting throughput.\n\nGiven:\n- The default electronic downtilt value is 255, representing a downtilt angle of 6 degrees. Other values represent the actual downtilt angle in degrees.\n\nBeam Scenario and Vertical Beamwidth Relationships:\n- When the cell's Beam Scenario is set to Default or SCENARIO_1 to SCENARIO_5, the vertical beamwidth is 6 degrees.\n- When the cell's Beam Scenario is set to SCENARIO_6 to SCENARIO_11, the vertical beamwidth is 12 degrees.\n- When the cell's Beam Scenario is set to SCENARIO_12 or above, the vertical beamwidth is 25 degrees.\n\nUser plane drive test data as follows：\n\nTimestamp|Longitude|Latitude|GPS Speed (km/h)|5G KPI PCell RF Serving PCI|5G KPI PCell RF Serving SS-RSRP [dBm]|5G KPI PCell RF Serving SS-SINR [dB]|5G KPI PCell Layer2 MAC DL Throughput [Mbps]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 1 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 2 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 3 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 4 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 5 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 1 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 2 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 3 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 4 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 5 Filtered Tx BRSRP [dBm]|5G KPI PCell Layer1 DL RB Num (Including 0)\n2025-05-07 15:11:42.000000|128.187027|32.582075|23|217|-83.75|13.15|1200.17|96|185|71|106|498|-101.79|-106.06|-112.11|-119.76|-121.04|210.67\n2025-05-07 15:11:43.000000|128.187041|32.582075|20|217|-80.35|13.02|1183.75|96|185|498|660|265|-100.3|-107.12|-113.52|-118.97|-124.2|210.86\n2025-05-07 15:11:44.000000|128.187049|32.582086|18|217|-84.21|11.15|959.79|96|185|498|265|660|-96.66|-106.59|-112.56|-119.2|-127.46|211.18\n2025-05-07 15:11:45.000000|128.187056|32.582098|21|217|-84.65|10.93|951.47|96|185|-|-|-|-94.06|-109.01|-|-|-|210.71\n2025-05-07 15:11:46.000000|128.187063|32.582117|15|217|-84.85|8.23|417.25|96|185|71|660|-|-91.96|-107.04|-110.67|-117.84|-|104.9\n2025-05-07 15:11:47.000000|128.187085|32.582125|1|217|-86.51|6.94|400.74|96|185|-|-|-|-89.88|-101.89|-|-|-|105.13\n2025-05-07 15:11:48.000000|128.187093|32.582136|34|96|-89.35|9.42|466.05|217|185|265|-|-|-93.07|-103.99|-110.11|-|-|105.195\n2025-05-07 15:11:49.000000|128.187093|32.582136|10|96|-84.33|11.95|423.05|217|185|-|-|-|-94.73|-98.2|-|-|-|105.345\n2025-05-07 15:11:50.000000|128.187093|32.582136|23|96|-83.09|9.39|884.29|217|185|-|-|-|-92.16|-103.03|-|-|-|210.0\n2025-05-07 15:11:51.000000|128.187093|32.582136|14|96|-86.55|7.75|993.62|217|185|-|-|-|-90.79|-102.97|-|-|-|210.15\n\n\nEngeneering parameters data as follows：\n\ngNodeB ID|Cell ID|Longitude|Latitude|Mechanical Azimuth|Mechanical Downtilt|Digital Tilt|Digital Azimuth|Beam Scenario|Height|PCI|TxRx Mode|Max Transmit Power|Antenna Model\n0033978|12|128.195732|32.588859|55|9|255|0|DEFAULT|39.2|435|32T32R|34.9|NR AAU 3\n0034036|14|128.200589|32.594674|0|0|255|0|EXPAND_SCENARIO_2|0.0|868|4T4R|46.0|Other\n0033166|25|128.189449|32.574162|330|17|9|-5|SCENARIO_2|31.1|265|64T64R|34.9|NR AAU 2\n0033164|27|128.189091|32.580931|240|3|10|0|DEFAULT|29.7|71|32T32R|34.9|NR AAU 1\n0033162|2|128.186111|32.566464|300|8|12|0|DEFAULT|34.0|106|64T64R|34.9|NR AAU 2\n0034039|3|128.191866|32.578753|290|39|255|0|DEFAULT|123.0|498|64T64R|34.9|NR AAU 2\n0000293|0|128.175743|32.589441|192|9|7|0|SCENARIO_9|3.0|660|64T64R|34.9|NR AAU 2\n0033317|14|128.185221|32.579659|55|10|11|0|DEFAULT|25.9|96|64T64R|34.9|NR AAU 2\n0033317|13|128.186916|32.580641|0|5|0|0|DEFAULT|17.4|217|32T32R|34.9|NR AAU 1\n0033164|29|128.185307|32.581601|195|8|12|0|DEFAULT|31.6|185|32T32R|34.9|NR AAU 1"
},
{
"role": "assistant",
"content": "C8"
}
] |
[
{
"role": "system",
"content": "You are an advanced Edge AI assistant specialized in Root Cause Analysis and Fault Detection for telecom networks, particularly 5G/6G drive-test and operational data.\nYour primary task is to perform Anomaly Detection and Root Cause Analysis on user-provided drive-test logs, engineering parameters, KPIs, and related tabular or textual data. Using your capabilities as a Large Language Model, you must:\n\nCarefully examine signal metrics (e.g., RSRP, SINR, throughput, RB allocation), handover events, PCI configurations, cell coverage parameters, vehicle speed, and any other relevant indicators.\nIdentify performance anomalies (e.g., sudden throughput drops, low SINR despite good RSRP, frequent handovers).\nDetermine the most likely root cause from a predefined set of possibilities (e.g., overshooting, interference, weak coverage, resource limitation, etc.).\nProvide clear, step-by-step reasoning that references specific values and patterns in the data.\nConclude every analysis with the final root cause enclosed in \boxed{} format (e.g., \boxed{C2}).\n\nAlways prioritize evidence-based reasoning over assumptions. When multiple causes appear possible, rank them by likelihood and select the that one is the most probable. Leverage Edge AI principles by delivering fast, accurate, and explainable diagnostics that could run efficiently on resource-constrained devices at the network edge.\nRespond only with the final boxed answer; do not add unnecessary conversation"
},
{
"role": "user",
"content": "Analyze the 5G wireless network drive-test user plane data and engineering parameters.\nIdentify the reason for the throughput dropping below 600Mbps in certain road sections.\nFrom the following 8 potential root causes, select the most likely one and enclose its number in \\boxed{{}} in the final answer.\n\nC1: The serving cell's downtilt angle is too large, causing weak coverage at the far end.\nC2: The serving cell's coverage distance exceeds 1km, resulting in over-shooting.\nC3: A neighboring cell provides higher throughput.\nC4: Non-colocated co-frequency neighboring cells cause severe overlapping coverage.\nC5: Frequent handovers degrade performance.\nC6: Neighbor cell and serving cell have the same PCI mod 30, leading to interference.\nC7: Test vehicle speed exceeds 40km/h, impacting user throughput.\nC8: Average scheduled RBs are below 160, affecting throughput.\n\nGiven:\n- The default electronic downtilt value is 255, representing a downtilt angle of 6 degrees. Other values represent the actual downtilt angle in degrees.\n\nBeam Scenario and Vertical Beamwidth Relationships:\n- When the cell's Beam Scenario is set to Default or SCENARIO_1 to SCENARIO_5, the vertical beamwidth is 6 degrees.\n- When the cell's Beam Scenario is set to SCENARIO_6 to SCENARIO_11, the vertical beamwidth is 12 degrees.\n- When the cell's Beam Scenario is set to SCENARIO_12 or above, the vertical beamwidth is 25 degrees.\n\nUser plane drive test data as follows：\n\nTimestamp|Longitude|Latitude|GPS Speed (km/h)|5G KPI PCell RF Serving PCI|5G KPI PCell RF Serving SS-RSRP [dBm]|5G KPI PCell RF Serving SS-SINR [dB]|5G KPI PCell Layer2 MAC DL Throughput [Mbps]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 1 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 2 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 3 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 4 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 5 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 1 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 2 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 3 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 4 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 5 Filtered Tx BRSRP [dBm]|5G KPI PCell Layer1 DL RB Num (Including 0)\n2025-05-07 13:34:02.000000|128.191321|32.58735|22|418|-85.62|12.17|613.68|333|480|-|-|-|-100.43|-106.18|-|-|-|185.2\n2025-05-07 13:34:03.000000|128.191321|32.58735|21|418|-87.41|12.8|683.69|333|480|-|-|-|-101.9|-108.38|-|-|-|201.82\n2025-05-07 13:34:04.000000|128.191321|32.58735|10|418|-86.43|12.51|696.36|333|480|-|-|-|-101.84|-107.79|-|-|-|205.17\n2025-05-07 13:34:05.000000|128.191321|32.58735|33|418|-86.23|13.1|1118.61|333|480|-|-|-|-103.29|-108.55|-|-|-|199.4\n2025-05-07 13:34:06.000000|128.191321|32.58735|4|418|-87.78|13.17|284.04|333|480|-|-|-|-90.21|-105.95|-|-|-|208.44\n2025-05-07 13:34:07.000000|128.191321|32.58735|3|418|-87.17|13.86|215.69|333|480|-|-|-|-90.99|-106.36|-|-|-|190.77\n2025-05-07 13:34:08.000000|128.191321|32.58735|32|333|-87.2|15.04|453.74|418|480|-|-|-|-90.47|-107.69|-|-|-|193.35\n2025-05-07 13:34:09.000000|128.191321|32.58735|14|333|-88.75|13.71|486.62|418|480|-|-|-|-92.61|-108.85|-|-|-|190.95\n2025-05-07 13:34:10.000000|128.191321|32.58735|26|333|-82.52|11.93|668.77|418|480|-|-|-|-99.57|-105.69|-|-|-|202.03\n2025-05-07 13:34:11.000000|128.191321|32.58735|29|333|-85.66|11.49|687.36|418|480|-|-|-|-100.52|-106.29|-|-|-|189.34\n\n\nEngeneering parameters data as follows：\n\ngNodeB ID|Cell ID|Longitude|Latitude|Mechanical Azimuth|Mechanical Downtilt|Digital Tilt|Digital Azimuth|Beam Scenario|Height|PCI|TxRx Mode|Max Transmit Power|Antenna Model\n0033984|4|128.190504|32.589435|130|10|255|0|DEFAULT|78.0|480|64T64R|34.9|NR AAU 2\n0033984|24|128.190914|32.590683|160|10|255|0|DEFAULT|64.0|94|32T32R|34.9|NR AAU 3\n0033237|17|128.191856|32.587807|220|15|11|-10|SCENARIO_4|51.3|418|32T32R|34.9|NR AAU 3\n0033237|15|128.190601|32.586624|170|1|12|0|DEFAULT|25.5|333|32T32R|34.9|NR AAU 1"
},
{
"role": "assistant",
"content": "C3"
}
] |
[
{
"role": "system",
"content": "You are an advanced Edge AI assistant specialized in Root Cause Analysis and Fault Detection for telecom networks, particularly 5G/6G drive-test and operational data.\nYour primary task is to perform Anomaly Detection and Root Cause Analysis on user-provided drive-test logs, engineering parameters, KPIs, and related tabular or textual data. Using your capabilities as a Large Language Model, you must:\n\nCarefully examine signal metrics (e.g., RSRP, SINR, throughput, RB allocation), handover events, PCI configurations, cell coverage parameters, vehicle speed, and any other relevant indicators.\nIdentify performance anomalies (e.g., sudden throughput drops, low SINR despite good RSRP, frequent handovers).\nDetermine the most likely root cause from a predefined set of possibilities (e.g., overshooting, interference, weak coverage, resource limitation, etc.).\nProvide clear, step-by-step reasoning that references specific values and patterns in the data.\nConclude every analysis with the final root cause enclosed in \boxed{} format (e.g., \boxed{C2}).\n\nAlways prioritize evidence-based reasoning over assumptions. When multiple causes appear possible, rank them by likelihood and select the that one is the most probable. Leverage Edge AI principles by delivering fast, accurate, and explainable diagnostics that could run efficiently on resource-constrained devices at the network edge.\nRespond only with the final boxed answer; do not add unnecessary conversation"
},
{
"role": "user",
"content": "Analyze the 5G wireless network drive-test user plane data and engineering parameters.\nIdentify the reason for the throughput dropping below 600Mbps in certain road sections.\nFrom the following 8 potential root causes, select the most likely one and enclose its number in \\boxed{{}} in the final answer.\n\nC1: The serving cell's downtilt angle is too large, causing weak coverage at the far end.\nC2: The serving cell's coverage distance exceeds 1km, resulting in over-shooting.\nC3: A neighboring cell provides higher throughput.\nC4: Non-colocated co-frequency neighboring cells cause severe overlapping coverage.\nC5: Frequent handovers degrade performance.\nC6: Neighbor cell and serving cell have the same PCI mod 30, leading to interference.\nC7: Test vehicle speed exceeds 40km/h, impacting user throughput.\nC8: Average scheduled RBs are below 160, affecting throughput.\n\nGiven:\n- The default electronic downtilt value is 255, representing a downtilt angle of 6 degrees. Other values represent the actual downtilt angle in degrees.\n\nBeam Scenario and Vertical Beamwidth Relationships:\n- When the cell's Beam Scenario is set to Default or SCENARIO_1 to SCENARIO_5, the vertical beamwidth is 6 degrees.\n- When the cell's Beam Scenario is set to SCENARIO_6 to SCENARIO_11, the vertical beamwidth is 12 degrees.\n- When the cell's Beam Scenario is set to SCENARIO_12 or above, the vertical beamwidth is 25 degrees.\n\nUser plane drive test data as follows：\n\nTimestamp|Longitude|Latitude|GPS Speed (km/h)|5G KPI PCell RF Serving PCI|5G KPI PCell RF Serving SS-RSRP [dBm]|5G KPI PCell RF Serving SS-SINR [dB]|5G KPI PCell Layer2 MAC DL Throughput [Mbps]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 1 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 2 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 3 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 4 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 5 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 1 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 2 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 3 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 4 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 5 Filtered Tx BRSRP [dBm]|5G KPI PCell Layer1 DL RB Num (Including 0)\n2025-05-07 14:40:02.000000|128.189766|32.585629|13|333|-77.91|16.95|706.88|596|151|134|400|-|-100.04|-102.77|-110.79|-119.61|-|211.06\n2025-05-07 14:40:03.000000|128.189823|32.585618|38|333|-79.93|15.74|845.13|596|151|-|-|-|-95.6|-101.7|-|-|-|211.41\n2025-05-07 14:40:04.000000|128.189859|32.585609|13|333|-76.87|13.09|1192.68|596|151|-|-|-|-93.89|-97.24|-|-|-|210.99\n2025-05-07 14:40:05.000000|128.189888|32.585598|10|333|-77.08|15.54|1255.05|596|151|868|400|-|-90.88|-99.37|-105.08|-110.39|-|211.06\n2025-05-07 14:40:06.000000|128.189895|32.585579|2|333|-76.66|17.01|1260.93|596|151|660|-|-|-88.55|-100.02|-102.39|-|-|211.09\n2025-05-07 14:40:07.000000|128.189902|32.585567|12|333|-75.08|15.09|416.45|596|151|660|-|-|-87.39|-102.05|-106.05|-|-|210.94\n2025-05-07 14:40:08.000000|128.189895|32.58556|1|596|-82.35|10.48|464.35|333|151|660|480|868|-85.93|-99.61|-106.21|-114.35|-116.25|210.8\n2025-05-07 14:40:09.000000|128.189895|32.585548|20|333|-86.09|9.96|352.9|596|151|660|400|-|-84.39|-96.73|-105.48|-108.38|-|198.61\n2025-05-07 14:40:10.000000|128.189895|32.585537|26|596|-81.29|11.03|350.59|333|151|400|-|-|-92.72|-99.85|-112.92|-|-|207.53\n2025-05-07 14:40:11.000000|128.189895|32.585529|25|596|-83.72|8.77|921.27|333|151|-|-|-|-93.42|-100.62|-|-|-|211.25\n\n\nEngeneering parameters data as follows：\n\ngNodeB ID|Cell ID|Longitude|Latitude|Mechanical Azimuth|Mechanical Downtilt|Digital Tilt|Digital Azimuth|Beam Scenario|Height|PCI|TxRx Mode|Max Transmit Power|Antenna Model\n0033237|4|128.188178|32.585893|110|1|10|0|SCENARIO_3|18.6|596|32T32R|34.9|NR AAU 3\n0000293|0|128.175837|32.589455|192|9|7|0|SCENARIO_9|3.0|660|64T64R|34.9|NR AAU 2\n0033237|15|128.190561|32.586618|200|11|0|0|DEFAULT|25.5|333|32T32R|34.9|NR AAU 1\n0033166|5|128.19274|32.577305|10|5|255|0|DEFAULT|23.0|134|64T64R|34.9|NR AAU 2\n0033918|28|128.193547|32.58448|304|12|9|0|SCENARIO_8|42.7|400|32T32R|34.9|NR AAU 1\n0033164|12|128.190071|32.583488|45|6|4|0|DEFAULT|22.0|151|64T64R|34.9|NR AAU 2\n0034036|14|128.200682|32.594688|0|0|255|0|EXPAND_SCENARIO_2|0.0|868|4T4R|46.0|Other\n0033984|4|128.190464|32.58943|130|10|255|0|DEFAULT|78.0|480|64T64R|34.9|NR AAU 2"
},
{
"role": "assistant",
"content": "C5"
}
] |
[
{
"role": "system",
"content": "You are an advanced Edge AI assistant specialized in Root Cause Analysis and Fault Detection for telecom networks, particularly 5G/6G drive-test and operational data.\nYour primary task is to perform Anomaly Detection and Root Cause Analysis on user-provided drive-test logs, engineering parameters, KPIs, and related tabular or textual data. Using your capabilities as a Large Language Model, you must:\n\nCarefully examine signal metrics (e.g., RSRP, SINR, throughput, RB allocation), handover events, PCI configurations, cell coverage parameters, vehicle speed, and any other relevant indicators.\nIdentify performance anomalies (e.g., sudden throughput drops, low SINR despite good RSRP, frequent handovers).\nDetermine the most likely root cause from a predefined set of possibilities (e.g., overshooting, interference, weak coverage, resource limitation, etc.).\nProvide clear, step-by-step reasoning that references specific values and patterns in the data.\nConclude every analysis with the final root cause enclosed in \boxed{} format (e.g., \boxed{C2}).\n\nAlways prioritize evidence-based reasoning over assumptions. When multiple causes appear possible, rank them by likelihood and select the that one is the most probable. Leverage Edge AI principles by delivering fast, accurate, and explainable diagnostics that could run efficiently on resource-constrained devices at the network edge.\nRespond only with the final boxed answer; do not add unnecessary conversation"
},
{
"role": "user",
"content": "Analyze the 5G wireless network drive-test user plane data and engineering parameters.\nIdentify the reason for the throughput dropping below 600Mbps in certain road sections.\nFrom the following 8 potential root causes, select the most likely one and enclose its number in \\boxed{{}} in the final answer.\n\nC1: The serving cell's downtilt angle is too large, causing weak coverage at the far end.\nC2: The serving cell's coverage distance exceeds 1km, resulting in over-shooting.\nC3: A neighboring cell provides higher throughput.\nC4: Non-colocated co-frequency neighboring cells cause severe overlapping coverage.\nC5: Frequent handovers degrade performance.\nC6: Neighbor cell and serving cell have the same PCI mod 30, leading to interference.\nC7: Test vehicle speed exceeds 40km/h, impacting user throughput.\nC8: Average scheduled RBs are below 160, affecting throughput.\n\nGiven:\n- The default electronic downtilt value is 255, representing a downtilt angle of 6 degrees. Other values represent the actual downtilt angle in degrees.\n\nBeam Scenario and Vertical Beamwidth Relationships:\n- When the cell's Beam Scenario is set to Default or SCENARIO_1 to SCENARIO_5, the vertical beamwidth is 6 degrees.\n- When the cell's Beam Scenario is set to SCENARIO_6 to SCENARIO_11, the vertical beamwidth is 12 degrees.\n- When the cell's Beam Scenario is set to SCENARIO_12 or above, the vertical beamwidth is 25 degrees.\n\nUser plane drive test data as follows：\n\nTimestamp|Longitude|Latitude|GPS Speed (km/h)|5G KPI PCell RF Serving PCI|5G KPI PCell RF Serving SS-RSRP [dBm]|5G KPI PCell RF Serving SS-SINR [dB]|5G KPI PCell Layer2 MAC DL Throughput [Mbps]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 1 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 2 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 3 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 4 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 5 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 1 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 2 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 3 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 4 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 5 Filtered Tx BRSRP [dBm]|5G KPI PCell Layer1 DL RB Num (Including 0)\n2025-05-07 13:17:12.000000|128.189139|32.581204|2|129|-72.15|28.0|1376.03|307|660|-|-|-|-98.4|-104.62|-|-|-|210.27\n2025-05-07 13:17:13.000000|128.18911|32.581216|34|129|-72.48|27.83|1449.05|307|660|-|-|-|-91.88|-103.77|-|-|-|211.07\n2025-05-07 13:17:14.000000|128.189088|32.581223|36|129|-72.76|25.9|1447.92|307|660|-|-|-|-97.65|-105.98|-|-|-|211.16\n2025-05-07 13:17:15.000000|128.18906|32.581236|1|129|-80.87|27.01|1548.05|307|660|-|-|-|-99.76|-107.37|-|-|-|211.19\n2025-05-07 13:17:16.000000|128.189039|32.581266|66|129|-80.44|27.59|615.7|307|660|-|-|-|-102.07|-106.26|-|-|-|210.93\n2025-05-07 13:17:17.000000|128.189039|32.581285|74|129|-84.0|19.87|575.25|307|660|71|-|-|-102.68|-105.27|-111.78|-|-|211.16\n2025-05-07 13:17:18.000000|128.189047|32.581327|42|307|-86.53|18.41|588.41|129|660|868|71|151|-102.82|-107.44|-113.34|-119.23|-145.06|211.02\n2025-05-07 13:17:19.000000|128.189062|32.581358|48|307|-81.98|19.84|571.78|129|660|868|-|-|-100.09|-109.03|-115.39|-|-|211.13\n2025-05-07 13:17:20.000000|128.189076|32.581396|12|307|-83.86|16.55|1422.83|129|660|868|71|-|-102.62|-107.16|-113.52|-119.86|-|211.03\n2025-05-07 13:17:21.000000|128.189099|32.581445|29|307|-88.38|14.22|1212.64|129|660|71|982|-|-104.56|-111.47|-116.52|-117.34|-|211.08\n\n\nEngeneering parameters data as follows：\n\ngNodeB ID|Cell ID|Longitude|Latitude|Mechanical Azimuth|Mechanical Downtilt|Digital Tilt|Digital Azimuth|Beam Scenario|Height|PCI|TxRx Mode|Max Transmit Power|Antenna Model\n0033164|24|128.188912|32.58177|235|15|9|0|DEFAULT|22.1|368|32T32R|34.9|NR AAU 1\n0033164|27|128.189108|32.580933|240|3|10|0|DEFAULT|29.7|71|32T32R|34.9|NR AAU 1\n0034036|14|128.200606|32.594677|0|0|255|0|EXPAND_SCENARIO_2|0.0|868|4T4R|46.0|Other\n0033164|14|128.189156|32.580996|330|20|255|0|DEFAULT|28.7|129|64T64R|34.9|NR AAU 2\n0000293|0|128.17576|32.589444|192|9|7|0|SCENARIO_9|3.0|660|64T64R|34.9|NR AAU 2\n0033164|12|128.189995|32.583477|45|6|4|0|DEFAULT|22.0|151|64T64R|34.9|NR AAU 2\n0033164|26|128.189127|32.580977|60|2|9|0|DEFAULT|26.6|307|32T32R|34.9|NR AAU 1"
},
{
"role": "assistant",
"content": "C7"
}
] |
[
{
"role": "system",
"content": "You are an advanced Edge AI assistant specialized in Root Cause Analysis and Fault Detection for telecom networks, particularly 5G/6G drive-test and operational data.\nYour primary task is to perform Anomaly Detection and Root Cause Analysis on user-provided drive-test logs, engineering parameters, KPIs, and related tabular or textual data. Using your capabilities as a Large Language Model, you must:\n\nCarefully examine signal metrics (e.g., RSRP, SINR, throughput, RB allocation), handover events, PCI configurations, cell coverage parameters, vehicle speed, and any other relevant indicators.\nIdentify performance anomalies (e.g., sudden throughput drops, low SINR despite good RSRP, frequent handovers).\nDetermine the most likely root cause from a predefined set of possibilities (e.g., overshooting, interference, weak coverage, resource limitation, etc.).\nProvide clear, step-by-step reasoning that references specific values and patterns in the data.\nConclude every analysis with the final root cause enclosed in \boxed{} format (e.g., \boxed{C2}).\n\nAlways prioritize evidence-based reasoning over assumptions. When multiple causes appear possible, rank them by likelihood and select the that one is the most probable. Leverage Edge AI principles by delivering fast, accurate, and explainable diagnostics that could run efficiently on resource-constrained devices at the network edge.\nRespond only with the final boxed answer; do not add unnecessary conversation"
},
{
"role": "user",
"content": "Analyze the 5G wireless network drive-test user plane data and engineering parameters.\nIdentify the reason for the throughput dropping below 600Mbps in certain road sections.\nFrom the following 8 potential root causes, select the most likely one and enclose its number in \\boxed{{}} in the final answer.\n\nC1: The serving cell's downtilt angle is too large, causing weak coverage at the far end.\nC2: The serving cell's coverage distance exceeds 1km, resulting in over-shooting.\nC3: A neighboring cell provides higher throughput.\nC4: Non-colocated co-frequency neighboring cells cause severe overlapping coverage.\nC5: Frequent handovers degrade performance.\nC6: Neighbor cell and serving cell have the same PCI mod 30, leading to interference.\nC7: Test vehicle speed exceeds 40km/h, impacting user throughput.\nC8: Average scheduled RBs are below 160, affecting throughput.\n\nGiven:\n- The default electronic downtilt value is 255, representing a downtilt angle of 6 degrees. Other values represent the actual downtilt angle in degrees.\n\nBeam Scenario and Vertical Beamwidth Relationships:\n- When the cell's Beam Scenario is set to Default or SCENARIO_1 to SCENARIO_5, the vertical beamwidth is 6 degrees.\n- When the cell's Beam Scenario is set to SCENARIO_6 to SCENARIO_11, the vertical beamwidth is 12 degrees.\n- When the cell's Beam Scenario is set to SCENARIO_12 or above, the vertical beamwidth is 25 degrees.\n\nUser plane drive test data as follows：\n\nTimestamp|Longitude|Latitude|GPS Speed (km/h)|5G KPI PCell RF Serving PCI|5G KPI PCell RF Serving SS-RSRP [dBm]|5G KPI PCell RF Serving SS-SINR [dB]|5G KPI PCell Layer2 MAC DL Throughput [Mbps]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 1 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 2 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 3 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 4 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 5 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 1 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 2 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 3 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 4 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 5 Filtered Tx BRSRP [dBm]|5G KPI PCell Layer1 DL RB Num (Including 0)\n2025-05-07 14:46:32.000000|128.187306|32.579243|1|712|-84.84|2.7199999999999998|887.68|832|764|-|-|-|-88.32|-93.93|-|-|-|206.87\n2025-05-07 14:46:33.000000|128.187314|32.579266|4|712|-85.33|0.05|986.55|832|764|868|129|-|-91.26|-93.94|-98.87|-109.87|-|210.66\n2025-05-07 14:46:34.000000|128.187321|32.579297|5|712|-84.46|-0.67|336.67|832|764|-|-|-|-89.49|-92.97|-|-|-|210.34\n2025-05-07 14:46:35.000000|128.187335|32.579315|19|712|-84.99|-0.43|330.82|832|764|-|-|-|-87.8|-96.1|-|-|-|209.2\n2025-05-07 14:46:36.000000|128.187343|32.579345|29|832|-87.13|-1.6800000000000002|416.78|712|764|868|720|368|-88.14|-94.37|-96.91|-101.55|-107.59|210.23\n2025-05-07 14:46:37.000000|128.187351|32.579372|23|832|-82.35|2.8200000000000003|366.09|712|764|-|-|-|-88.01|-95.6|-|-|-|210.32\n2025-05-07 14:46:38.000000|128.187366|32.579403|1|832|-84.76|-1.51|902.52|712|764|-|-|-|-89.71|-93.78|-|-|-|210.28\n2025-05-07 14:46:39.000000|128.187374|32.579433|30|832|-84.84|-0.30000000000000004|1205.23|712|764|868|368|284|-88.66|-93.94|-97.98|-103.08|-111.11|210.47\n2025-05-07 14:46:40.000000|128.187381|32.579464|18|832|-86.79|-0.03|977.11|712|764|868|368|284|-90.5|-94.84|-98.05|-107.61|-110.84|189.96\n2025-05-07 14:46:41.000000|128.187381|32.579483|10|832|-84.11|3.22|1050.61|712|764|868|284|129|-89.54|-93.63|-102.58|-104.15|-116.52|202.98\n\n\nEngeneering parameters data as follows：\n\ngNodeB ID|Cell ID|Longitude|Latitude|Mechanical Azimuth|Mechanical Downtilt|Digital Tilt|Digital Azimuth|Beam Scenario|Height|PCI|TxRx Mode|Max Transmit Power|Antenna Model\n0034038|3|128.188718|32.577206|183|11|4|-20|SCENARIO_9|36.2|61|64T64R|34.9|NR AAU 2\n0034039|3|128.191896|32.578758|290|39|255|0|DEFAULT|123.0|498|64T64R|34.9|NR AAU 2\n0034038|2|128.18797|32.579054|140|10|4|0|DEFAULT|5.0|1090|64T64R|34.9|NR AAU 2\n0034038|4|128.187961|32.579084|290|1|4|0|DEFAULT|5.0|712|64T64R|34.9|NR AAU 2\n0033166|5|128.192677|32.577296|10|5|255|0|DEFAULT|23.0|134|64T64R|34.9|NR AAU 2\n0033164|14|128.18917|32.580998|150|20|255|0|DEFAULT|28.7|129|64T64R|34.9|NR AAU 2\n0033317|16|128.18691|32.580702|217|2|13|0|DEFAULT|16.0|764|64T64R|34.9|NR AAU 2\n0034038|24|128.187378|32.577865|40|44|9|10|SCENARIO_9|56.0|284|64T64R|34.9|NR AAU 2\n0033164|24|128.188925|32.581772|235|15|9|0|DEFAULT|22.1|368|32T32R|34.9|NR AAU 1"
},
{
"role": "assistant",
"content": "C6"
}
] |
[
{
"role": "system",
"content": "You are an advanced Edge AI assistant specialized in Root Cause Analysis and Fault Detection for telecom networks, particularly 5G/6G drive-test and operational data.\nYour primary task is to perform Anomaly Detection and Root Cause Analysis on user-provided drive-test logs, engineering parameters, KPIs, and related tabular or textual data. Using your capabilities as a Large Language Model, you must:\n\nCarefully examine signal metrics (e.g., RSRP, SINR, throughput, RB allocation), handover events, PCI configurations, cell coverage parameters, vehicle speed, and any other relevant indicators.\nIdentify performance anomalies (e.g., sudden throughput drops, low SINR despite good RSRP, frequent handovers).\nDetermine the most likely root cause from a predefined set of possibilities (e.g., overshooting, interference, weak coverage, resource limitation, etc.).\nProvide clear, step-by-step reasoning that references specific values and patterns in the data.\nConclude every analysis with the final root cause enclosed in \boxed{} format (e.g., \boxed{C2}).\n\nAlways prioritize evidence-based reasoning over assumptions. When multiple causes appear possible, rank them by likelihood and select the that one is the most probable. Leverage Edge AI principles by delivering fast, accurate, and explainable diagnostics that could run efficiently on resource-constrained devices at the network edge.\nRespond only with the final boxed answer; do not add unnecessary conversation"
},
{
"role": "user",
"content": "Analyze the 5G wireless network drive-test user plane data and engineering parameters.\nIdentify the reason for the throughput dropping below 600Mbps in certain road sections.\nFrom the following 8 potential root causes, select the most likely one and enclose its number in \\boxed{{}} in the final answer.\n\nC1: The serving cell's downtilt angle is too large, causing weak coverage at the far end.\nC2: The serving cell's coverage distance exceeds 1km, resulting in over-shooting.\nC3: A neighboring cell provides higher throughput.\nC4: Non-colocated co-frequency neighboring cells cause severe overlapping coverage.\nC5: Frequent handovers degrade performance.\nC6: Neighbor cell and serving cell have the same PCI mod 30, leading to interference.\nC7: Test vehicle speed exceeds 40km/h, impacting user throughput.\nC8: Average scheduled RBs are below 160, affecting throughput.\n\nGiven:\n- The default electronic downtilt value is 255, representing a downtilt angle of 6 degrees. Other values represent the actual downtilt angle in degrees.\n\nBeam Scenario and Vertical Beamwidth Relationships:\n- When the cell's Beam Scenario is set to Default or SCENARIO_1 to SCENARIO_5, the vertical beamwidth is 6 degrees.\n- When the cell's Beam Scenario is set to SCENARIO_6 to SCENARIO_11, the vertical beamwidth is 12 degrees.\n- When the cell's Beam Scenario is set to SCENARIO_12 or above, the vertical beamwidth is 25 degrees.\n\nUser plane drive test data as follows：\n\nTimestamp|Longitude|Latitude|GPS Speed (km/h)|5G KPI PCell RF Serving PCI|5G KPI PCell RF Serving SS-RSRP [dBm]|5G KPI PCell RF Serving SS-SINR [dB]|5G KPI PCell Layer2 MAC DL Throughput [Mbps]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 1 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 2 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 3 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 4 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 5 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 1 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 2 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 3 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 4 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 5 Filtered Tx BRSRP [dBm]|5G KPI PCell Layer1 DL RB Num (Including 0)\n2025-05-07 15:06:42.000000|128.187466|32.582598|3|217|-81.42|8.52|902.47|96|71|-|-|-|-91.22|-97.95|-|-|-|205.11\n2025-05-07 15:06:43.000000|128.187466|32.582598|29|217|-79.04|9.61|1084.38|96|71|-|-|-|-90.29|-97.37|-|-|-|211.01\n2025-05-07 15:06:44.000000|128.187466|32.582605|28|217|-77.63|10.1|990.08|96|71|868|-|-|-90.13|-99.02|-104.14|-|-|210.83\n2025-05-07 15:06:45.000000|128.187466|32.582605|29|217|-81.16|8.41|943.16|96|71|-|-|-|-89.37|-100.65|-|-|-|211.27\n2025-05-07 15:06:46.000000|128.187466|32.582605|9|217|-85.29|6.78|905.86|96|71|-|-|-|-89.22|-101.81|-|-|-|211.21\n2025-05-07 15:06:47.000000|128.187466|32.582617|5|71|-80.56|5.58|352.71|96|217|660|868|-|-90.96|-97.95|-105.79|-112.32|-|211.19\n2025-05-07 15:06:48.000000|128.187466|32.582617|22|71|-89.13|2.74|348.3|96|217|660|435|-|-89.02|-98.21|-104.42|-112.21|-|211.18\n2025-05-07 15:06:49.000000|128.187466|32.582617|20|71|-87.67|4.21|399.78|217|96|868|660|-|-90.54|-96.6|-99.77|-105.91|-|211.18\n2025-05-07 15:06:50.000000|128.187466|32.582617|11|71|-86.01|6.1|407.15|217|96|435|-|-|-93.17|-100.3|-105.45|-|-|211.32\n2025-05-07 15:06:51.000000|128.187466|32.582617|29|96|-80.19|7.73|1043.28|217|71|-|-|-|-94.47|-99.61|-|-|-|211.07\n\n\nEngeneering parameters data as follows：\n\ngNodeB ID|Cell ID|Longitude|Latitude|Mechanical Azimuth|Mechanical Downtilt|Digital Tilt|Digital Azimuth|Beam Scenario|Height|PCI|TxRx Mode|Max Transmit Power|Antenna Model\n0033166|25|128.189726|32.574202|330|17|9|-5|SCENARIO_2|31.1|265|64T64R|34.9|NR AAU 2\n0000293|0|128.17602|32.589481|192|9|7|0|SCENARIO_9|3.0|660|64T64R|34.9|NR AAU 2\n0033317|13|128.187193|32.580681|10|4|0|0|DEFAULT|17.4|217|32T32R|34.9|NR AAU 1\n0033317|14|128.185498|32.579699|55|10|11|0|DEFAULT|25.9|96|64T64R|34.9|NR AAU 2\n0034036|14|128.200866|32.594714|0|0|255|0|EXPAND_SCENARIO_2|0.0|868|4T4R|46.0|Other\n0033978|12|128.196009|32.588899|55|9|255|0|DEFAULT|39.2|435|32T32R|34.9|NR AAU 3\n0033164|27|128.217568|32.580711|240|3|10|0|DEFAULT|29.7|71|32T32R|34.9|NR AAU 1"
},
{
"role": "assistant",
"content": "C2"
}
] |
[
{
"role": "system",
"content": "You are an advanced Edge AI assistant specialized in Root Cause Analysis and Fault Detection for telecom networks, particularly 5G/6G drive-test and operational data.\nYour primary task is to perform Anomaly Detection and Root Cause Analysis on user-provided drive-test logs, engineering parameters, KPIs, and related tabular or textual data. Using your capabilities as a Large Language Model, you must:\n\nCarefully examine signal metrics (e.g., RSRP, SINR, throughput, RB allocation), handover events, PCI configurations, cell coverage parameters, vehicle speed, and any other relevant indicators.\nIdentify performance anomalies (e.g., sudden throughput drops, low SINR despite good RSRP, frequent handovers).\nDetermine the most likely root cause from a predefined set of possibilities (e.g., overshooting, interference, weak coverage, resource limitation, etc.).\nProvide clear, step-by-step reasoning that references specific values and patterns in the data.\nConclude every analysis with the final root cause enclosed in \boxed{} format (e.g., \boxed{C2}).\n\nAlways prioritize evidence-based reasoning over assumptions. When multiple causes appear possible, rank them by likelihood and select the that one is the most probable. Leverage Edge AI principles by delivering fast, accurate, and explainable diagnostics that could run efficiently on resource-constrained devices at the network edge.\nRespond only with the final boxed answer; do not add unnecessary conversation"
},
{
"role": "user",
"content": "Analyze the 5G wireless network drive-test user plane data and engineering parameters.\nIdentify the reason for the throughput dropping below 600Mbps in certain road sections.\nFrom the following 8 potential root causes, select the most likely one and enclose its number in \\boxed{{}} in the final answer.\n\nC1: The serving cell's downtilt angle is too large, causing weak coverage at the far end.\nC2: The serving cell's coverage distance exceeds 1km, resulting in over-shooting.\nC3: A neighboring cell provides higher throughput.\nC4: Non-colocated co-frequency neighboring cells cause severe overlapping coverage.\nC5: Frequent handovers degrade performance.\nC6: Neighbor cell and serving cell have the same PCI mod 30, leading to interference.\nC7: Test vehicle speed exceeds 40km/h, impacting user throughput.\nC8: Average scheduled RBs are below 160, affecting throughput.\n\nGiven:\n- The default electronic downtilt value is 255, representing a downtilt angle of 6 degrees. Other values represent the actual downtilt angle in degrees.\n\nBeam Scenario and Vertical Beamwidth Relationships:\n- When the cell's Beam Scenario is set to Default or SCENARIO_1 to SCENARIO_5, the vertical beamwidth is 6 degrees.\n- When the cell's Beam Scenario is set to SCENARIO_6 to SCENARIO_11, the vertical beamwidth is 12 degrees.\n- When the cell's Beam Scenario is set to SCENARIO_12 or above, the vertical beamwidth is 25 degrees.\n\nUser plane drive test data as follows：\n\nTimestamp|Longitude|Latitude|GPS Speed (km/h)|5G KPI PCell RF Serving PCI|5G KPI PCell RF Serving SS-RSRP [dBm]|5G KPI PCell RF Serving SS-SINR [dB]|5G KPI PCell Layer2 MAC DL Throughput [Mbps]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 1 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 2 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 3 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 4 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 5 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 1 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 2 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 3 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 4 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 5 Filtered Tx BRSRP [dBm]|5G KPI PCell Layer1 DL RB Num (Including 0)\n2025-05-07 15:01:42.000000|128.186012|32.581026|8|764|-85.74|19.55|1288.9|217|185|106|-|-|-93.33|-99.33|-111.86|-|-|211.45\n2025-05-07 15:01:43.000000|128.186048|32.581045|71|764|-85.4|20.22|523.93|217|185|-|-|-|-89.33|-100.53|-|-|-|211.23\n2025-05-07 15:01:44.000000|128.186084|32.581076|50|764|-86.87|16.23|450.87|217|185|-|-|-|-86.98|-104.22|-|-|-|211.37\n2025-05-07 15:01:45.000000|128.186113|32.581087|65|217|-87.34|17.29|475.49|764|185|-|-|-|-87.18|-101.97|-|-|-|211.19\n2025-05-07 15:01:46.000000|128.186135|32.581094|44|217|-86.39|17.5|485.32|764|185|-|-|-|-88.65|-107.42|-|-|-|210.91\n2025-05-07 15:01:47.000000|128.186142|32.581105|31|217|-83.71|17.05|1214.89|764|185|-|-|-|-87.32|-103.16|-|-|-|210.81\n2025-05-07 15:01:48.000000|128.186157|32.581105|34|217|-80.56|20.05|1278.44|764|185|-|-|-|-84.65|-103.25|-|-|-|211.5\n2025-05-07 15:01:49.000000|128.186163|32.581105|2|217|-82.43|17.62|1143.99|764|185|-|-|-|-86.24|-105.63|-|-|-|211.27\n2025-05-07 15:01:50.000000|128.186171|32.581094|9|217|-85.74|16.73|1271.78|764|185|-|-|-|-84.46|-106.94|-|-|-|211.42\n2025-05-07 15:01:51.000000|128.186192|32.581094|27|217|-83.66|17.82|1259.53|764|185|-|-|-|-86.23|-106.4|-|-|-|211.01\n\n\nEngeneering parameters data as follows：\n\ngNodeB ID|Cell ID|Longitude|Latitude|Mechanical Azimuth|Mechanical Downtilt|Digital Tilt|Digital Azimuth|Beam Scenario|Height|PCI|TxRx Mode|Max Transmit Power|Antenna Model\n0033978|12|128.195584|32.588838|55|9|255|0|DEFAULT|39.2|435|32T32R|34.9|NR AAU 3\n0033317|13|128.186768|32.580619|5|5|6|0|DEFAULT|17.4|217|32T32R|34.9|NR AAU 1\n0033164|29|128.185159|32.58158|195|8|12|0|DEFAULT|31.6|185|32T32R|34.9|NR AAU 1\n0033162|2|128.185963|32.566443|300|8|12|0|DEFAULT|34.0|106|64T64R|34.9|NR AAU 2\n0033317|16|128.186731|32.580677|300|11|0|0|DEFAULT|16.0|764|64T64R|34.9|NR AAU 2\n0033317|14|128.185073|32.579638|55|10|11|0|DEFAULT|25.9|96|64T64R|34.9|NR AAU 2\n0000590|53|128.177802|32.597536|0|0|255|0|DEFAULT|0.0|720|4T4R|46.0|Other"
},
{
"role": "assistant",
"content": "C7"
}
] |
[
{
"role": "system",
"content": "You are an advanced Edge AI assistant specialized in Root Cause Analysis and Fault Detection for telecom networks, particularly 5G/6G drive-test and operational data.\nYour primary task is to perform Anomaly Detection and Root Cause Analysis on user-provided drive-test logs, engineering parameters, KPIs, and related tabular or textual data. Using your capabilities as a Large Language Model, you must:\n\nCarefully examine signal metrics (e.g., RSRP, SINR, throughput, RB allocation), handover events, PCI configurations, cell coverage parameters, vehicle speed, and any other relevant indicators.\nIdentify performance anomalies (e.g., sudden throughput drops, low SINR despite good RSRP, frequent handovers).\nDetermine the most likely root cause from a predefined set of possibilities (e.g., overshooting, interference, weak coverage, resource limitation, etc.).\nProvide clear, step-by-step reasoning that references specific values and patterns in the data.\nConclude every analysis with the final root cause enclosed in \boxed{} format (e.g., \boxed{C2}).\n\nAlways prioritize evidence-based reasoning over assumptions. When multiple causes appear possible, rank them by likelihood and select the that one is the most probable. Leverage Edge AI principles by delivering fast, accurate, and explainable diagnostics that could run efficiently on resource-constrained devices at the network edge.\nRespond only with the final boxed answer; do not add unnecessary conversation"
},
{
"role": "user",
"content": "Analyze the 5G wireless network drive-test user plane data and engineering parameters.\nIdentify the reason for the throughput dropping below 600Mbps in certain road sections.\nFrom the following 8 potential root causes, select the most likely one and enclose its number in \\boxed{{}} in the final answer.\n\nC1: The serving cell's downtilt angle is too large, causing weak coverage at the far end.\nC2: The serving cell's coverage distance exceeds 1km, resulting in over-shooting.\nC3: A neighboring cell provides higher throughput.\nC4: Non-colocated co-frequency neighboring cells cause severe overlapping coverage.\nC5: Frequent handovers degrade performance.\nC6: Neighbor cell and serving cell have the same PCI mod 30, leading to interference.\nC7: Test vehicle speed exceeds 40km/h, impacting user throughput.\nC8: Average scheduled RBs are below 160, affecting throughput.\n\nGiven:\n- The default electronic downtilt value is 255, representing a downtilt angle of 6 degrees. Other values represent the actual downtilt angle in degrees.\n\nBeam Scenario and Vertical Beamwidth Relationships:\n- When the cell's Beam Scenario is set to Default or SCENARIO_1 to SCENARIO_5, the vertical beamwidth is 6 degrees.\n- When the cell's Beam Scenario is set to SCENARIO_6 to SCENARIO_11, the vertical beamwidth is 12 degrees.\n- When the cell's Beam Scenario is set to SCENARIO_12 or above, the vertical beamwidth is 25 degrees.\n\nUser plane drive test data as follows：\n\nTimestamp|Longitude|Latitude|GPS Speed (km/h)|5G KPI PCell RF Serving PCI|5G KPI PCell RF Serving SS-RSRP [dBm]|5G KPI PCell RF Serving SS-SINR [dB]|5G KPI PCell Layer2 MAC DL Throughput [Mbps]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 1 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 2 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 3 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 4 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 5 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 1 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 2 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 3 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 4 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 5 Filtered Tx BRSRP [dBm]|5G KPI PCell Layer1 DL RB Num (Including 0)\n2025-05-07 16:25:36.000000|128.187325|32.577132|10|729|-73.15|17.67|943.43|394|481|-|-|-|-80.48|-96.34|-|-|-|203.61\n2025-05-07 16:25:37.000000|128.187317|32.577075|30|729|-76.45|16.63|793.62|394|481|-|-|-|-82.22|-98.85|-|-|-|193.92\n2025-05-07 16:25:38.000000|128.187288|32.577014|30|729|-80.48|11.58|1006.87|394|481|-|-|-|-80.63|-93.74|-|-|-|188.36\n2025-05-07 16:25:39.000000|128.187258|32.576953|13|729|-81.41|17.12|300.38|394|481|-|-|-|-79.8|-98.34|-|-|-|205.92\n2025-05-07 16:25:40.000000|128.187222|32.576874|26|729|-80.73|10.75|264.49|394|481|-|-|-|-82.7|-94.59|-|-|-|200.11\n2025-05-07 16:25:41.000000|128.188315|32.576554|34|394|-88.89|8.43|497.9|729|481|-|-|-|-89.05|-99.2|-|-|-|200.16\n2025-05-07 16:25:42.000000|128.187169|32.576744|39|394|-85.17|10.3|457.84|729|481|-|-|-|-89.65|-99.93|-|-|-|171.17\n2025-05-07 16:25:43.000000|128.187155|32.576694|36|394|-88.03|9.15|676.51|729|481|170|709|357|-96.38|-101.44|-106.96|-112.66|-122.97|202.61\n2025-05-07 16:25:44.000000|128.187126|32.576645|23|394|-86.4|10.87|774.07|729|481|170|284|732|-93.74|-99.56|-106.66|-114.48|-118.19|206.31\n2025-05-07 16:25:45.000000|128.18709|32.576615|18|394|-88.0|10.75|836.62|729|481|507|357|170|-90.11|-101.31|-108.05|-119.78|-124.26|204.89\n\n\nEngeneering parameters data as follows：\n\ngNodeB ID|Cell ID|Longitude|Latitude|Mechanical Azimuth|Mechanical Downtilt|Digital Tilt|Digital Azimuth|Beam Scenario|Height|PCI|TxRx Mode|Max Transmit Power|Antenna Model\n0034038|28|128.186758|32.57687|70|8|255|0|DEFAULT|24.0|729|64T64R|34.9|NR AAU 2\n0034038|27|128.18869|32.577204|260|15|6|0|DEFAULT|35.2|732|32T32R|34.9|NR AAU 3\n0033286|58|128.187109|32.574817|320|9|13|0|DEFAULT|24.0|481|32T32R|34.9|NR AAU 1\n0034038|26|128.186786|32.576813|240|19|6|0|SCENARIO_7|28.0|394|32T32R|34.9|NR AAU 1\n0034038|0|128.18743|32.577968|179|41|13|0|DEFAULT|56.0|357|64T64R|34.9|NR AAU 2\n0034039|4|128.192305|32.578727|255|20|255|0|DEFAULT|111.0|656|64T64R|34.9|NR AAU 2\n0033166|26|128.190492|32.575416|230|17|4|20|SCENARIO_4|48.1|170|64T64R|34.9|NR AAU 2\n0034038|24|128.187331|32.577858|40|44|9|10|SCENARIO_9|56.0|284|64T64R|34.9|NR AAU 2\n0033286|62|128.187109|32.574817|140|0|6|20|SCENARIO_13|20.0|507|32T32R|34.9|NR AAU 1"
},
{
"role": "assistant",
"content": "C3"
}
] |
[
{
"role": "system",
"content": "You are an advanced Edge AI assistant specialized in Root Cause Analysis and Fault Detection for telecom networks, particularly 5G/6G drive-test and operational data.\nYour primary task is to perform Anomaly Detection and Root Cause Analysis on user-provided drive-test logs, engineering parameters, KPIs, and related tabular or textual data. Using your capabilities as a Large Language Model, you must:\n\nCarefully examine signal metrics (e.g., RSRP, SINR, throughput, RB allocation), handover events, PCI configurations, cell coverage parameters, vehicle speed, and any other relevant indicators.\nIdentify performance anomalies (e.g., sudden throughput drops, low SINR despite good RSRP, frequent handovers).\nDetermine the most likely root cause from a predefined set of possibilities (e.g., overshooting, interference, weak coverage, resource limitation, etc.).\nProvide clear, step-by-step reasoning that references specific values and patterns in the data.\nConclude every analysis with the final root cause enclosed in \boxed{} format (e.g., \boxed{C2}).\n\nAlways prioritize evidence-based reasoning over assumptions. When multiple causes appear possible, rank them by likelihood and select the that one is the most probable. Leverage Edge AI principles by delivering fast, accurate, and explainable diagnostics that could run efficiently on resource-constrained devices at the network edge.\nRespond only with the final boxed answer; do not add unnecessary conversation"
},
{
"role": "user",
"content": "Analyze the 5G wireless network drive-test user plane data and engineering parameters.\nIdentify the reason for the throughput dropping below 600Mbps in certain road sections.\nFrom the following 8 potential root causes, select the most likely one and enclose its number in \\boxed{{}} in the final answer.\n\nC1: The serving cell's downtilt angle is too large, causing weak coverage at the far end.\nC2: The serving cell's coverage distance exceeds 1km, resulting in over-shooting.\nC3: A neighboring cell provides higher throughput.\nC4: Non-colocated co-frequency neighboring cells cause severe overlapping coverage.\nC5: Frequent handovers degrade performance.\nC6: Neighbor cell and serving cell have the same PCI mod 30, leading to interference.\nC7: Test vehicle speed exceeds 40km/h, impacting user throughput.\nC8: Average scheduled RBs are below 160, affecting throughput.\n\nGiven:\n- The default electronic downtilt value is 255, representing a downtilt angle of 6 degrees. Other values represent the actual downtilt angle in degrees.\n\nBeam Scenario and Vertical Beamwidth Relationships:\n- When the cell's Beam Scenario is set to Default or SCENARIO_1 to SCENARIO_5, the vertical beamwidth is 6 degrees.\n- When the cell's Beam Scenario is set to SCENARIO_6 to SCENARIO_11, the vertical beamwidth is 12 degrees.\n- When the cell's Beam Scenario is set to SCENARIO_12 or above, the vertical beamwidth is 25 degrees.\n\nUser plane drive test data as follows：\n\nTimestamp|Longitude|Latitude|GPS Speed (km/h)|5G KPI PCell RF Serving PCI|5G KPI PCell RF Serving SS-RSRP [dBm]|5G KPI PCell RF Serving SS-SINR [dB]|5G KPI PCell Layer2 MAC DL Throughput [Mbps]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 1 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 2 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 3 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 4 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 5 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 1 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 2 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 3 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 4 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 5 Filtered Tx BRSRP [dBm]|5G KPI PCell Layer1 DL RB Num (Including 0)\n2025-05-07 15:14:22.000000|128.187332|32.582315|35|217|-88.34|20.17|1188.72|96|185|-|-|-|-106.23|-110.75|-|-|-|211.03\n2025-05-07 15:14:23.000000|128.187332|32.582315|12|217|-87.16|20.2|1086.81|96|185|-|-|-|-105.05|-109.72|-|-|-|210.77\n2025-05-07 15:14:24.000000|128.187332|32.582315|34|217|-86.4|20.07|1025.33|96|185|-|-|-|-107.06|-110.67|-|-|-|210.52\n2025-05-07 15:14:25.000000|128.187332|32.582315|70|217|-89.25|20.07|365.2|96|185|-|-|-|-105.08|-112.42|-|-|-|210.58\n2025-05-07 15:14:26.000000|128.187332|32.582315|74|217|-86.1|20.05|341.75|96|185|-|-|-|-106.15|-113.92|-|-|-|210.54\n2025-05-07 15:14:27.000000|128.187332|32.582315|59|96|-88.04|20.14|377.71|217|185|227|-|-|-106.26|-113.2|-128.65|-|-|210.93\n2025-05-07 15:14:28.000000|128.187332|32.582315|65|96|-86.55|20.36|407.75|217|185|-|-|-|-105.53|-111.76|-|-|-|209.98\n2025-05-07 15:14:29.000000|128.187332|32.582315|1|96|-89.48|20.58|772.66|217|185|-|-|-|-106.35|-113.04|-|-|-|193.0\n2025-05-07 15:14:30.000000|128.187332|32.582315|14|96|-87.2|20.51|799.28|217|185|-|-|-|-105.36|-113.22|-|-|-|211.02\n2025-05-07 15:14:31.000000|128.187332|32.582315|20|96|-89.01|20.51|976.53|217|185|-|-|-|-106.83|-112.78|-|-|-|210.85\n\n\nEngeneering parameters data as follows：\n\ngNodeB ID|Cell ID|Longitude|Latitude|Mechanical Azimuth|Mechanical Downtilt|Digital Tilt|Digital Azimuth|Beam Scenario|Height|PCI|TxRx Mode|Max Transmit Power|Antenna Model\n0033978|12|128.195688|32.588853|55|9|255|0|DEFAULT|39.2|435|32T32R|34.9|NR AAU 3\n0034036|14|128.200545|32.594668|0|0|255|0|EXPAND_SCENARIO_2|0.0|868|4T4R|46.0|Other\n0033317|14|128.185177|32.579653|55|10|11|0|DEFAULT|25.9|96|64T64R|34.9|NR AAU 2\n0033164|29|128.185263|32.581595|195|8|12|0|DEFAULT|31.6|185|32T32R|34.9|NR AAU 1\n0033162|2|128.186067|32.566458|300|8|12|0|DEFAULT|34.0|106|64T64R|34.9|NR AAU 2\n0000293|0|128.175699|32.589435|192|9|7|0|SCENARIO_9|3.0|660|64T64R|34.9|NR AAU 2\n0033317|13|128.186872|32.580634|10|5|0|0|DEFAULT|17.4|217|32T32R|34.9|NR AAU 1"
},
{
"role": "assistant",
"content": "C7"
}
] |
[
{
"role": "system",
"content": "You are an advanced Edge AI assistant specialized in Root Cause Analysis and Fault Detection for telecom networks, particularly 5G/6G drive-test and operational data.\nYour primary task is to perform Anomaly Detection and Root Cause Analysis on user-provided drive-test logs, engineering parameters, KPIs, and related tabular or textual data. Using your capabilities as a Large Language Model, you must:\n\nCarefully examine signal metrics (e.g., RSRP, SINR, throughput, RB allocation), handover events, PCI configurations, cell coverage parameters, vehicle speed, and any other relevant indicators.\nIdentify performance anomalies (e.g., sudden throughput drops, low SINR despite good RSRP, frequent handovers).\nDetermine the most likely root cause from a predefined set of possibilities (e.g., overshooting, interference, weak coverage, resource limitation, etc.).\nProvide clear, step-by-step reasoning that references specific values and patterns in the data.\nConclude every analysis with the final root cause enclosed in \boxed{} format (e.g., \boxed{C2}).\n\nAlways prioritize evidence-based reasoning over assumptions. When multiple causes appear possible, rank them by likelihood and select the that one is the most probable. Leverage Edge AI principles by delivering fast, accurate, and explainable diagnostics that could run efficiently on resource-constrained devices at the network edge.\nRespond only with the final boxed answer; do not add unnecessary conversation"
},
{
"role": "user",
"content": "Analyze the 5G wireless network drive-test user plane data and engineering parameters.\nIdentify the reason for the throughput dropping below 600Mbps in certain road sections.\nFrom the following 8 potential root causes, select the most likely one and enclose its number in \\boxed{{}} in the final answer.\n\nC1: The serving cell's downtilt angle is too large, causing weak coverage at the far end.\nC2: The serving cell's coverage distance exceeds 1km, resulting in over-shooting.\nC3: A neighboring cell provides higher throughput.\nC4: Non-colocated co-frequency neighboring cells cause severe overlapping coverage.\nC5: Frequent handovers degrade performance.\nC6: Neighbor cell and serving cell have the same PCI mod 30, leading to interference.\nC7: Test vehicle speed exceeds 40km/h, impacting user throughput.\nC8: Average scheduled RBs are below 160, affecting throughput.\n\nGiven:\n- The default electronic downtilt value is 255, representing a downtilt angle of 6 degrees. Other values represent the actual downtilt angle in degrees.\n\nBeam Scenario and Vertical Beamwidth Relationships:\n- When the cell's Beam Scenario is set to Default or SCENARIO_1 to SCENARIO_5, the vertical beamwidth is 6 degrees.\n- When the cell's Beam Scenario is set to SCENARIO_6 to SCENARIO_11, the vertical beamwidth is 12 degrees.\n- When the cell's Beam Scenario is set to SCENARIO_12 or above, the vertical beamwidth is 25 degrees.\n\nUser plane drive test data as follows：\n\nTimestamp|Longitude|Latitude|GPS Speed (km/h)|5G KPI PCell RF Serving PCI|5G KPI PCell RF Serving SS-RSRP [dBm]|5G KPI PCell RF Serving SS-SINR [dB]|5G KPI PCell Layer2 MAC DL Throughput [Mbps]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 1 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 2 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 3 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 4 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 5 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 1 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 2 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 3 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 4 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 5 Filtered Tx BRSRP [dBm]|5G KPI PCell Layer1 DL RB Num (Including 0)\n2025-05-07 14:45:32.000000|128.188445|32.580032|5|71|-76.17|15.46|1007.61|307|712|-|-|-|-87.33|-93.93|-|-|-|210.08\n2025-05-07 14:45:33.000000|128.18843|32.579983|36|71|-77.69|14.73|999.59|307|712|368|284|-|-88.64|-95.14|-107.65|-117.36|-|209.82\n2025-05-07 14:45:34.000000|128.188401|32.579925|34|71|-76.68|10.64|943.44|307|712|-|-|-|-86.5|-90.86|-|-|-|211.22\n2025-05-07 14:45:35.000000|128.188378|32.579865|15|71|-77.13|10.3|912.66|307|712|-|-|-|-86.84|-89.62|-|-|-|209.44\n2025-05-07 14:45:36.000000|128.188363|32.579804|11|71|-79.22|8.57|861.82|307|712|-|-|-|-81.04|-88.48|-|-|-|207.86\n2025-05-07 14:45:37.000000|128.188341|32.579755|19|71|-83.17|7.11|262.31|712|307|129|284|-|-77.99|-87.06|-93.41|-113.42|-|207.88\n2025-05-07 14:45:38.000000|128.188333|32.579716|19|71|-80.23|2.95|319.87|712|307|284|258|-|-82.55|-90.55|-110.24|-111.41|-|209.43\n2025-05-07 14:45:39.000000|128.188311|32.579686|5|307|-87.17|4.18|198.27|712|71|284|258|-|-87.2|-89.42|-102.95|-117.85|-|207.41\n2025-05-07 14:45:40.000000|128.188311|32.579667|12|307|-87.23|2.87|283.13|712|71|284|258|-|-87.96|-91.69|-103.61|-116.86|-|211.09\n2025-05-07 14:45:41.000000|128.188304|32.579644|35|307|-85.71|6.26|911.91|71|712|284|258|-|-86.63|-95.02|-106.39|-110.21|-|210.88\n\n\nEngeneering parameters data as follows：\n\ngNodeB ID|Cell ID|Longitude|Latitude|Mechanical Azimuth|Mechanical Downtilt|Digital Tilt|Digital Azimuth|Beam Scenario|Height|PCI|TxRx Mode|Max Transmit Power|Antenna Model\n0033164|14|128.189134|32.580993|150|20|255|0|DEFAULT|28.7|129|64T64R|34.9|NR AAU 2\n0033164|27|128.189086|32.58093|200|1|10|0|DEFAULT|29.7|71|32T32R|34.9|NR AAU 1\n0034038|4|128.187926|32.579079|30|8|4|0|DEFAULT|5.0|712|64T64R|34.9|NR AAU 2\n0033164|26|128.189105|32.580974|60|2|9|0|DEFAULT|26.6|307|32T32R|34.9|NR AAU 1\n0034038|2|128.187935|32.579049|140|10|4|0|DEFAULT|5.0|258|64T64R|34.9|NR AAU 2\n0033164|24|128.188889|32.581767|235|15|9|0|DEFAULT|22.1|368|32T32R|34.9|NR AAU 1\n0034038|24|128.187343|32.57786|40|44|9|10|SCENARIO_9|56.0|284|64T64R|34.9|NR AAU 2"
},
{
"role": "assistant",
"content": "C4"
}
] |
[
{
"role": "system",
"content": "You are an advanced Edge AI assistant specialized in Root Cause Analysis and Fault Detection for telecom networks, particularly 5G/6G drive-test and operational data.\nYour primary task is to perform Anomaly Detection and Root Cause Analysis on user-provided drive-test logs, engineering parameters, KPIs, and related tabular or textual data. Using your capabilities as a Large Language Model, you must:\n\nCarefully examine signal metrics (e.g., RSRP, SINR, throughput, RB allocation), handover events, PCI configurations, cell coverage parameters, vehicle speed, and any other relevant indicators.\nIdentify performance anomalies (e.g., sudden throughput drops, low SINR despite good RSRP, frequent handovers).\nDetermine the most likely root cause from a predefined set of possibilities (e.g., overshooting, interference, weak coverage, resource limitation, etc.).\nProvide clear, step-by-step reasoning that references specific values and patterns in the data.\nConclude every analysis with the final root cause enclosed in \boxed{} format (e.g., \boxed{C2}).\n\nAlways prioritize evidence-based reasoning over assumptions. When multiple causes appear possible, rank them by likelihood and select the that one is the most probable. Leverage Edge AI principles by delivering fast, accurate, and explainable diagnostics that could run efficiently on resource-constrained devices at the network edge.\nRespond only with the final boxed answer; do not add unnecessary conversation"
},
{
"role": "user",
"content": "Analyze the 5G wireless network drive-test user plane data and engineering parameters.\nIdentify the reason for the throughput dropping below 600Mbps in certain road sections.\nFrom the following 8 potential root causes, select the most likely one and enclose its number in \\boxed{{}} in the final answer.\n\nC1: The serving cell's downtilt angle is too large, causing weak coverage at the far end.\nC2: The serving cell's coverage distance exceeds 1km, resulting in over-shooting.\nC3: A neighboring cell provides higher throughput.\nC4: Non-colocated co-frequency neighboring cells cause severe overlapping coverage.\nC5: Frequent handovers degrade performance.\nC6: Neighbor cell and serving cell have the same PCI mod 30, leading to interference.\nC7: Test vehicle speed exceeds 40km/h, impacting user throughput.\nC8: Average scheduled RBs are below 160, affecting throughput.\n\nGiven:\n- The default electronic downtilt value is 255, representing a downtilt angle of 6 degrees. Other values represent the actual downtilt angle in degrees.\n\nBeam Scenario and Vertical Beamwidth Relationships:\n- When the cell's Beam Scenario is set to Default or SCENARIO_1 to SCENARIO_5, the vertical beamwidth is 6 degrees.\n- When the cell's Beam Scenario is set to SCENARIO_6 to SCENARIO_11, the vertical beamwidth is 12 degrees.\n- When the cell's Beam Scenario is set to SCENARIO_12 or above, the vertical beamwidth is 25 degrees.\n\nUser plane drive test data as follows：\n\nTimestamp|Longitude|Latitude|GPS Speed (km/h)|5G KPI PCell RF Serving PCI|5G KPI PCell RF Serving SS-RSRP [dBm]|5G KPI PCell RF Serving SS-SINR [dB]|5G KPI PCell Layer2 MAC DL Throughput [Mbps]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 1 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 2 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 3 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 4 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 5 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 1 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 2 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 3 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 4 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 5 Filtered Tx BRSRP [dBm]|5G KPI PCell Layer1 DL RB Num (Including 0)\n2025-05-07 14:21:22.000000|128.186911|32.584055|5|330|-88.89|23.99|910.24|591|660|597|-|-|-108.46|-114.13|-121.7|-|-|205.46\n2025-05-07 14:21:23.000000|128.186911|32.584055|27|330|-89.36|24.9|902.26|591|660|597|-|-|-107.7|-114.35|-125.38|-|-|207.8\n2025-05-07 14:21:24.000000|128.185869|32.585626|9|330|-87.0|24.09|782.18|591|660|597|-|-|-108.21|-117.02|-123.07|-|-|198.74\n2025-05-07 14:21:25.000000|128.186911|32.584055|14|330|-89.02|24.2|866.73|591|660|597|-|-|-108.78|-118.51|-123.08|-|-|206.74\n2025-05-07 14:21:26.000000|128.186911|32.584055|22|660|-89.33|24.58|360.01|591|330|597|-|-|-110.69|-117.2|-123.87|-|-|207.83\n2025-05-07 14:21:27.000000|128.186911|32.584055|22|660|-85.93|23.51|348.49|591|330|597|-|-|-109.36|-116.58|-122.59|-|-|202.36\n2025-05-07 14:21:28.000000|128.186911|32.584055|15|660|-85.11|23.68|347.63|330|591|597|-|-|-108.73|-116.33|-121.83|-|-|206.61\n2025-05-07 14:21:29.000000|128.186911|32.584055|33|660|-85.34|24.27|326.91|330|591|597|-|-|-110.65|-117.25|-123.82|-|-|201.3\n2025-05-07 14:21:30.000000|128.186911|32.584055|29|591|-84.6|24.55|849.27|330|660|597|-|-|-110.11|-117.76|-122.16|-|-|202.67\n2025-05-07 14:21:31.000000|128.186911|32.584055|21|591|-88.44|24.61|827.11|330|660|597|-|-|-109.49|-118.24|-125.74|-|-|206.82\n\n\nEngeneering parameters data as follows：\n\ngNodeB ID|Cell ID|Longitude|Latitude|Mechanical Azimuth|Mechanical Downtilt|Digital Tilt|Digital Azimuth|Beam Scenario|Height|PCI|TxRx Mode|Max Transmit Power|Antenna Model\n0000293|0|128.203985|32.589187|192|9|7|0|SCENARIO_9|3.0|660|64T64R|34.9|NR AAU 2\n0033164|5|128.186986|32.585957|170|5|9|0|DEFAULT|51.1|591|32T32R|34.9|NR AAU 3\n0033164|4|128.18644|32.584389|120|14|13|10|SCENARIO_4|52.9|330|32T32R|34.9|NR AAU 3\n0033286|14|128.179948|32.574116|60|7|13|0|SCENARIO_3|56.0|597|32T32R|34.9|NR AAU 3"
},
{
"role": "assistant",
"content": "C2"
}
] |
[
{
"role": "system",
"content": "You are an advanced Edge AI assistant specialized in Root Cause Analysis and Fault Detection for telecom networks, particularly 5G/6G drive-test and operational data.\nYour primary task is to perform Anomaly Detection and Root Cause Analysis on user-provided drive-test logs, engineering parameters, KPIs, and related tabular or textual data. Using your capabilities as a Large Language Model, you must:\n\nCarefully examine signal metrics (e.g., RSRP, SINR, throughput, RB allocation), handover events, PCI configurations, cell coverage parameters, vehicle speed, and any other relevant indicators.\nIdentify performance anomalies (e.g., sudden throughput drops, low SINR despite good RSRP, frequent handovers).\nDetermine the most likely root cause from a predefined set of possibilities (e.g., overshooting, interference, weak coverage, resource limitation, etc.).\nProvide clear, step-by-step reasoning that references specific values and patterns in the data.\nConclude every analysis with the final root cause enclosed in \boxed{} format (e.g., \boxed{C2}).\n\nAlways prioritize evidence-based reasoning over assumptions. When multiple causes appear possible, rank them by likelihood and select the that one is the most probable. Leverage Edge AI principles by delivering fast, accurate, and explainable diagnostics that could run efficiently on resource-constrained devices at the network edge.\nRespond only with the final boxed answer; do not add unnecessary conversation"
},
{
"role": "user",
"content": "Analyze the 5G wireless network drive-test user plane data and engineering parameters.\nIdentify the reason for the throughput dropping below 600Mbps in certain road sections.\nFrom the following 8 potential root causes, select the most likely one and enclose its number in \\boxed{{}} in the final answer.\n\nC1: The serving cell's downtilt angle is too large, causing weak coverage at the far end.\nC2: The serving cell's coverage distance exceeds 1km, resulting in over-shooting.\nC3: A neighboring cell provides higher throughput.\nC4: Non-colocated co-frequency neighboring cells cause severe overlapping coverage.\nC5: Frequent handovers degrade performance.\nC6: Neighbor cell and serving cell have the same PCI mod 30, leading to interference.\nC7: Test vehicle speed exceeds 40km/h, impacting user throughput.\nC8: Average scheduled RBs are below 160, affecting throughput.\n\nGiven:\n- The default electronic downtilt value is 255, representing a downtilt angle of 6 degrees. Other values represent the actual downtilt angle in degrees.\n\nBeam Scenario and Vertical Beamwidth Relationships:\n- When the cell's Beam Scenario is set to Default or SCENARIO_1 to SCENARIO_5, the vertical beamwidth is 6 degrees.\n- When the cell's Beam Scenario is set to SCENARIO_6 to SCENARIO_11, the vertical beamwidth is 12 degrees.\n- When the cell's Beam Scenario is set to SCENARIO_12 or above, the vertical beamwidth is 25 degrees.\n\nUser plane drive test data as follows：\n\nTimestamp|Longitude|Latitude|GPS Speed (km/h)|5G KPI PCell RF Serving PCI|5G KPI PCell RF Serving SS-RSRP [dBm]|5G KPI PCell RF Serving SS-SINR [dB]|5G KPI PCell Layer2 MAC DL Throughput [Mbps]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 1 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 2 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 3 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 4 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 5 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 1 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 2 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 3 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 4 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 5 Filtered Tx BRSRP [dBm]|5G KPI PCell Layer1 DL RB Num (Including 0)\n2025-05-07 11:11:05.000000|128.189324|32.579635|11|712|-83.03|4.63|629.97|284|71|-|-|-|-92.99|-98.41|-|-|-|210.81\n2025-05-07 11:11:06.000000|128.189295|32.579605|23|712|-84.64|3.96|735.48|284|71|-|-|-|-92.5|-99.46|-|-|-|210.74\n2025-05-07 11:11:07.000000|128.189266|32.579574|6|712|-85.2|2.39|611.51|284|71|732|307|709|-91.96|-99.02|-103.45|-108.83|-111.53|210.98\n2025-05-07 11:11:08.000000|128.189244|32.579563|1|712|-82.92|3.41|257.52|284|71|307|732|719|-87.55|-97.7|-98.75|-105.97|-115.13|210.37\n2025-05-07 11:11:09.000000|128.18923|32.579544|37|712|-87.31|3.66|284.99|284|71|-|-|-|-84.7|-93.16|-|-|-|210.66\n2025-05-07 11:11:10.000000|128.189208|32.579514|26|284|-89.58|1.08|453.74|712|71|498|129|307|-85.24|-89.91|-98.95|-100.84|-114.12|191.35\n2025-05-07 11:11:11.000000|128.189186|32.579484|35|284|-82.89|-4.13|413.57|712|71|129|732|709|-80.61|-90.84|-99.67|-111.96|-114.46|179.42\n2025-05-07 11:11:12.000000|128.189172|32.579453|25|284|-84.45|3.68|1031.4|712|71|-|-|-|-78.09|-88.41|-|-|-|174.8\n2025-05-07 11:11:13.000000|128.189156|32.579427|38|284|-73.99|8.01|876.62|712|71|732|129|719|-85.56|-90.92|-99.66|-105.1|-111.24|207.82\n2025-05-07 11:11:14.000000|128.189142|32.579404|20|284|-69.68|11.04|659.5|712|71|732|-|-|-80.72|-91.15|-102.95|-|-|204.7\n\n\nEngeneering parameters data as follows：\n\ngNodeB ID|Cell ID|Longitude|Latitude|Mechanical Azimuth|Mechanical Downtilt|Digital Tilt|Digital Azimuth|Beam Scenario|Height|PCI|TxRx Mode|Max Transmit Power|Antenna Model\n0033164|14|128.189246|32.581009|150|20|255|0|DEFAULT|28.7|129|64T64R|34.9|NR AAU 2\n0033164|27|128.189199|32.580946|240|3|10|0|DEFAULT|29.7|71|32T32R|34.9|NR AAU 1\n0033164|26|128.189218|32.58099|60|2|9|0|DEFAULT|26.6|307|32T32R|34.9|NR AAU 1\n0034038|24|128.187455|32.577876|40|44|9|10|SCENARIO_9|56.0|284|64T64R|34.9|NR AAU 2\n0034036|14|128.200696|32.59469|0|0|255|0|EXPAND_SCENARIO_2|0.0|868|4T4R|46.0|Other\n0034038|5|128.188795|32.577217|39|15|9|10|SCENARIO_2|36.2|719|64T64R|34.9|NR AAU 2\n0034038|27|128.188814|32.577222|260|15|6|0|DEFAULT|35.2|732|32T32R|34.9|NR AAU 3\n0034039|3|128.191973|32.578769|290|39|255|0|DEFAULT|123.0|498|64T64R|34.9|NR AAU 2\n0034038|4|128.188038|32.579095|60|2|0|0|DEFAULT|5.0|712|64T64R|34.9|NR AAU 2"
},
{
"role": "assistant",
"content": "C3"
}
] |
[
{
"role": "system",
"content": "You are an advanced Edge AI assistant specialized in Root Cause Analysis and Fault Detection for telecom networks, particularly 5G/6G drive-test and operational data.\nYour primary task is to perform Anomaly Detection and Root Cause Analysis on user-provided drive-test logs, engineering parameters, KPIs, and related tabular or textual data. Using your capabilities as a Large Language Model, you must:\n\nCarefully examine signal metrics (e.g., RSRP, SINR, throughput, RB allocation), handover events, PCI configurations, cell coverage parameters, vehicle speed, and any other relevant indicators.\nIdentify performance anomalies (e.g., sudden throughput drops, low SINR despite good RSRP, frequent handovers).\nDetermine the most likely root cause from a predefined set of possibilities (e.g., overshooting, interference, weak coverage, resource limitation, etc.).\nProvide clear, step-by-step reasoning that references specific values and patterns in the data.\nConclude every analysis with the final root cause enclosed in \boxed{} format (e.g., \boxed{C2}).\n\nAlways prioritize evidence-based reasoning over assumptions. When multiple causes appear possible, rank them by likelihood and select the that one is the most probable. Leverage Edge AI principles by delivering fast, accurate, and explainable diagnostics that could run efficiently on resource-constrained devices at the network edge.\nRespond only with the final boxed answer; do not add unnecessary conversation"
},
{
"role": "user",
"content": "Analyze the 5G wireless network drive-test user plane data and engineering parameters.\nIdentify the reason for the throughput dropping below 600Mbps in certain road sections.\nFrom the following 8 potential root causes, select the most likely one and enclose its number in \\boxed{{}} in the final answer.\n\nC1: The serving cell's downtilt angle is too large, causing weak coverage at the far end.\nC2: The serving cell's coverage distance exceeds 1km, resulting in over-shooting.\nC3: A neighboring cell provides higher throughput.\nC4: Non-colocated co-frequency neighboring cells cause severe overlapping coverage.\nC5: Frequent handovers degrade performance.\nC6: Neighbor cell and serving cell have the same PCI mod 30, leading to interference.\nC7: Test vehicle speed exceeds 40km/h, impacting user throughput.\nC8: Average scheduled RBs are below 160, affecting throughput.\n\nGiven:\n- The default electronic downtilt value is 255, representing a downtilt angle of 6 degrees. Other values represent the actual downtilt angle in degrees.\n\nBeam Scenario and Vertical Beamwidth Relationships:\n- When the cell's Beam Scenario is set to Default or SCENARIO_1 to SCENARIO_5, the vertical beamwidth is 6 degrees.\n- When the cell's Beam Scenario is set to SCENARIO_6 to SCENARIO_11, the vertical beamwidth is 12 degrees.\n- When the cell's Beam Scenario is set to SCENARIO_12 or above, the vertical beamwidth is 25 degrees.\n\nUser plane drive test data as follows：\n\nTimestamp|Longitude|Latitude|GPS Speed (km/h)|5G KPI PCell RF Serving PCI|5G KPI PCell RF Serving SS-RSRP [dBm]|5G KPI PCell RF Serving SS-SINR [dB]|5G KPI PCell Layer2 MAC DL Throughput [Mbps]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 1 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 2 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 3 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 4 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 5 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 1 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 2 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 3 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 4 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 5 Filtered Tx BRSRP [dBm]|5G KPI PCell Layer1 DL RB Num (Including 0)\n2025-05-07 14:38:22.000000|128.188356|32.585295|34|596|-78.86|4.67|859.93|502|591|330|767|160|-81.74|-92.96|-100.52|-102.02|-107.47|202.51\n2025-05-07 14:38:23.000000|128.188312|32.585307|2|596|-81.37|2.7800000000000002|805.62|502|591|767|151|160|-82.17|-89.22|-95.16|-105.45|-110.61|182.82\n2025-05-07 14:38:24.000000|128.188277|32.585318|2|596|-81.43|-2.66|713.29|502|591|-|-|-|-78.99|-91.68|-|-|-|182.3\n2025-05-07 14:38:25.000000|128.188234|32.585327|13|596|-78.4|1.06|826.0|502|591|-|-|-|-80.0|-91.06|-|-|-|194.78\n2025-05-07 14:38:26.000000|128.188191|32.585339|14|596|-77.72|2.21|321.8|502|591|-|-|-|-77.75|-90.26|-|-|-|187.52\n2025-05-07 14:38:27.000000|128.188148|32.585346|38|596|-77.04|-1.77|296.29|502|591|-|-|-|-79.82|-89.67|-|-|-|189.43\n2025-05-07 14:38:28.000000|128.188098|32.585359|29|502|-87.78|-3.25|425.09|596|591|151|-|-|-77.8|-89.07|-95.93|-|-|185.98\n2025-05-07 14:38:29.000000|128.188062|32.58537|32|502|-71.88|10.41|461.1|596|591|660|151|-|-76.33|-86.79|-96.03|-99.66|-|182.74\n2025-05-07 14:38:30.000000|128.188033|32.585378|19|502|-72.14|11.46|722.49|596|591|151|160|911|-80.77|-91.53|-97.14|-104.12|-105.62|208.41\n2025-05-07 14:38:31.000000|128.187998|32.58539|5|502|-68.82|9.13|920.58|596|591|660|911|151|-72.82|-86.03|-95.36|-102.62|-99.74|209.29\n\n\nEngeneering parameters data as follows：\n\ngNodeB ID|Cell ID|Longitude|Latitude|Mechanical Azimuth|Mechanical Downtilt|Digital Tilt|Digital Azimuth|Beam Scenario|Height|PCI|TxRx Mode|Max Transmit Power|Antenna Model\n0000293|0|128.175615|32.589422|192|9|7|0|SCENARIO_9|3.0|660|64T64R|34.9|NR AAU 2\n0033164|5|128.186815|32.585932|170|5|9|0|DEFAULT|51.1|591|32T32R|34.9|NR AAU 3\n0033237|24|128.189146|32.585915|330|19|6|0|SCENARIO_3|81.0|502|64T64R|34.9|NR AAU 2\n0033164|4|128.186269|32.584364|162|14|13|10|SCENARIO_4|52.9|330|32T32R|34.9|NR AAU 3\n0033984|1|128.190266|32.589377|230|10|255|0|DEFAULT|78.0|767|64T64R|34.9|NR AAU 2\n0033164|12|128.189849|32.583456|45|6|4|0|DEFAULT|22.0|151|64T64R|34.9|NR AAU 2\n0033237|4|128.187956|32.585861|160|1|10|0|SCENARIO_3|18.6|596|32T32R|34.9|NR AAU 3"
},
{
"role": "assistant",
"content": "C3"
}
] |
[
{
"role": "system",
"content": "You are an advanced Edge AI assistant specialized in Root Cause Analysis and Fault Detection for telecom networks, particularly 5G/6G drive-test and operational data.\nYour primary task is to perform Anomaly Detection and Root Cause Analysis on user-provided drive-test logs, engineering parameters, KPIs, and related tabular or textual data. Using your capabilities as a Large Language Model, you must:\n\nCarefully examine signal metrics (e.g., RSRP, SINR, throughput, RB allocation), handover events, PCI configurations, cell coverage parameters, vehicle speed, and any other relevant indicators.\nIdentify performance anomalies (e.g., sudden throughput drops, low SINR despite good RSRP, frequent handovers).\nDetermine the most likely root cause from a predefined set of possibilities (e.g., overshooting, interference, weak coverage, resource limitation, etc.).\nProvide clear, step-by-step reasoning that references specific values and patterns in the data.\nConclude every analysis with the final root cause enclosed in \boxed{} format (e.g., \boxed{C2}).\n\nAlways prioritize evidence-based reasoning over assumptions. When multiple causes appear possible, rank them by likelihood and select the that one is the most probable. Leverage Edge AI principles by delivering fast, accurate, and explainable diagnostics that could run efficiently on resource-constrained devices at the network edge.\nRespond only with the final boxed answer; do not add unnecessary conversation"
},
{
"role": "user",
"content": "Analyze the 5G wireless network drive-test user plane data and engineering parameters.\nIdentify the reason for the throughput dropping below 600Mbps in certain road sections.\nFrom the following 8 potential root causes, select the most likely one and enclose its number in \\boxed{{}} in the final answer.\n\nC1: The serving cell's downtilt angle is too large, causing weak coverage at the far end.\nC2: The serving cell's coverage distance exceeds 1km, resulting in over-shooting.\nC3: A neighboring cell provides higher throughput.\nC4: Non-colocated co-frequency neighboring cells cause severe overlapping coverage.\nC5: Frequent handovers degrade performance.\nC6: Neighbor cell and serving cell have the same PCI mod 30, leading to interference.\nC7: Test vehicle speed exceeds 40km/h, impacting user throughput.\nC8: Average scheduled RBs are below 160, affecting throughput.\n\nGiven:\n- The default electronic downtilt value is 255, representing a downtilt angle of 6 degrees. Other values represent the actual downtilt angle in degrees.\n\nBeam Scenario and Vertical Beamwidth Relationships:\n- When the cell's Beam Scenario is set to Default or SCENARIO_1 to SCENARIO_5, the vertical beamwidth is 6 degrees.\n- When the cell's Beam Scenario is set to SCENARIO_6 to SCENARIO_11, the vertical beamwidth is 12 degrees.\n- When the cell's Beam Scenario is set to SCENARIO_12 or above, the vertical beamwidth is 25 degrees.\n\nUser plane drive test data as follows：\n\nTimestamp|Longitude|Latitude|GPS Speed (km/h)|5G KPI PCell RF Serving PCI|5G KPI PCell RF Serving SS-RSRP [dBm]|5G KPI PCell RF Serving SS-SINR [dB]|5G KPI PCell Layer2 MAC DL Throughput [Mbps]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 1 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 2 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 3 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 4 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 5 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 1 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 2 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 3 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 4 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 5 Filtered Tx BRSRP [dBm]|5G KPI PCell Layer1 DL RB Num (Including 0)\n2025-05-07 11:08:35.000000|128.189699|32.581067|37|129|-87.19|14.9|1235.03|307|482|660|-|-|-97.19|-106.94|-121.51|-|-|211.21\n2025-05-07 11:08:36.000000|128.189699|32.581067|20|129|-85.42|16.72|1187.44|307|482|660|-|-|-98.95|-106.71|-123.13|-|-|211.22\n2025-05-07 11:08:37.000000|128.189699|32.581067|29|482|-87.43|13.76|454.09|307|129|-|-|-|-99.03|-106.07|-|-|-|210.98\n2025-05-07 11:08:38.000000|128.189699|32.581067|3|482|-85.51|13.46|464.26|307|129|-|-|-|-99.21|-105.23|-|-|-|211.15\n2025-05-07 11:08:39.000000|128.189699|32.581067|2|482|-89.88|14.98|489.97|129|307|-|-|-|-99.22|-104.11|-|-|-|211.35\n2025-05-07 11:08:40.000000|128.189699|32.581067|26|482|-83.32|16.69|471.98|129|307|-|-|-|-100.58|-104.85|-|-|-|208.59\n2025-05-07 11:08:41.000000|128.189699|32.581067|19|307|-84.15|14.84|1216.56|129|482|-|-|-|-101.49|-104.95|-|-|-|208.96\n2025-05-07 11:08:42.000000|128.189734|32.581036|25|307|-85.33|15.33|1203.34|129|482|-|-|-|-98.96|-103.45|-|-|-|210.74\n2025-05-07 11:08:43.000000|128.189699|32.581067|28|307|-85.28|17.59|1334.78|129|482|-|-|-|-99.48|-103.99|-|-|-|211.14\n2025-05-07 11:08:44.000000|128.189699|32.581067|5|307|-86.21|12.47|1247.55|129|482|660|-|-|-100.93|-104.21|-119.57|-|-|211.05\n\n\nEngeneering parameters data as follows：\n\ngNodeB ID|Cell ID|Longitude|Latitude|Mechanical Azimuth|Mechanical Downtilt|Digital Tilt|Digital Azimuth|Beam Scenario|Height|PCI|TxRx Mode|Max Transmit Power|Antenna Model\n0033164|24|128.189178|32.581808|235|15|9|0|DEFAULT|22.1|368|32T32R|34.9|NR AAU 1\n0033164|26|128.189394|32.581016|60|2|9|0|DEFAULT|26.6|307|32T32R|34.9|NR AAU 1\n0033164|14|128.189423|32.581034|80|20|255|0|DEFAULT|28.7|129|64T64R|34.9|NR AAU 2\n0000293|0|128.176027|32.589482|192|9|7|0|SCENARIO_9|3.0|660|64T64R|34.9|NR AAU 2\n0033917|15|128.22275|32.579567|275|3|9|0|SCENARIO_9|24.0|482|32T32R|34.9|NR AAU 3"
},
{
"role": "assistant",
"content": "C2"
}
] |
[
{
"role": "system",
"content": "You are an advanced Edge AI assistant specialized in Root Cause Analysis and Fault Detection for telecom networks, particularly 5G/6G drive-test and operational data.\nYour primary task is to perform Anomaly Detection and Root Cause Analysis on user-provided drive-test logs, engineering parameters, KPIs, and related tabular or textual data. Using your capabilities as a Large Language Model, you must:\n\nCarefully examine signal metrics (e.g., RSRP, SINR, throughput, RB allocation), handover events, PCI configurations, cell coverage parameters, vehicle speed, and any other relevant indicators.\nIdentify performance anomalies (e.g., sudden throughput drops, low SINR despite good RSRP, frequent handovers).\nDetermine the most likely root cause from a predefined set of possibilities (e.g., overshooting, interference, weak coverage, resource limitation, etc.).\nProvide clear, step-by-step reasoning that references specific values and patterns in the data.\nConclude every analysis with the final root cause enclosed in \boxed{} format (e.g., \boxed{C2}).\n\nAlways prioritize evidence-based reasoning over assumptions. When multiple causes appear possible, rank them by likelihood and select the that one is the most probable. Leverage Edge AI principles by delivering fast, accurate, and explainable diagnostics that could run efficiently on resource-constrained devices at the network edge.\nRespond only with the final boxed answer; do not add unnecessary conversation"
},
{
"role": "user",
"content": "Analyze the 5G wireless network drive-test user plane data and engineering parameters.\nIdentify the reason for the throughput dropping below 600Mbps in certain road sections.\nFrom the following 8 potential root causes, select the most likely one and enclose its number in \\boxed{{}} in the final answer.\n\nC1: The serving cell's downtilt angle is too large, causing weak coverage at the far end.\nC2: The serving cell's coverage distance exceeds 1km, resulting in over-shooting.\nC3: A neighboring cell provides higher throughput.\nC4: Non-colocated co-frequency neighboring cells cause severe overlapping coverage.\nC5: Frequent handovers degrade performance.\nC6: Neighbor cell and serving cell have the same PCI mod 30, leading to interference.\nC7: Test vehicle speed exceeds 40km/h, impacting user throughput.\nC8: Average scheduled RBs are below 160, affecting throughput.\n\nGiven:\n- The default electronic downtilt value is 255, representing a downtilt angle of 6 degrees. Other values represent the actual downtilt angle in degrees.\n\nBeam Scenario and Vertical Beamwidth Relationships:\n- When the cell's Beam Scenario is set to Default or SCENARIO_1 to SCENARIO_5, the vertical beamwidth is 6 degrees.\n- When the cell's Beam Scenario is set to SCENARIO_6 to SCENARIO_11, the vertical beamwidth is 12 degrees.\n- When the cell's Beam Scenario is set to SCENARIO_12 or above, the vertical beamwidth is 25 degrees.\n\nUser plane drive test data as follows：\n\nTimestamp|Longitude|Latitude|GPS Speed (km/h)|5G KPI PCell RF Serving PCI|5G KPI PCell RF Serving SS-RSRP [dBm]|5G KPI PCell RF Serving SS-SINR [dB]|5G KPI PCell Layer2 MAC DL Throughput [Mbps]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 1 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 2 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 3 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 4 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 5 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 1 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 2 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 3 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 4 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 5 Filtered Tx BRSRP [dBm]|5G KPI PCell Layer1 DL RB Num (Including 0)\n2025-05-07 14:19:42.000000|128.186911|32.584055|24|330|-85.24|24.1|1092.24|591|660|-|-|-|-105.6|-115.31|-|-|-|201.73\n2025-05-07 14:19:43.000000|128.186911|32.584055|4|330|-86.39|24.61|1171.81|591|660|-|-|-|-105.93|-115.31|-|-|-|200.49\n2025-05-07 14:19:44.000000|128.185865|32.585336|35|330|-83.47|24.86|747.55|591|660|-|-|-|-105.97|-117.82|-|-|-|194.44\n2025-05-07 14:19:45.000000|128.186911|32.584055|26|330|-86.51|24.85|740.48|591|660|-|-|-|-104.71|-117.71|-|-|-|205.0\n2025-05-07 14:19:46.000000|128.186911|32.584055|27|330|-84.18|24.33|675.2|591|660|-|-|-|-105.4|-116.71|-|-|-|205.25\n2025-05-07 14:19:47.000000|128.186911|32.584055|4|330|-82.02|24.4|323.52|660|591|-|-|-|-84.57|-115.27|-|-|-|201.17\n2025-05-07 14:19:48.000000|128.186911|32.584055|9|330|-86.52|22.38|317.48|660|591|597|-|-|-88.68|-114.28|-133.57|-|-|198.62\n2025-05-07 14:19:49.000000|128.186911|32.584055|11|591|-88.35|21.53|273.54|660|330|597|-|-|-90.37|-117.53|-120.79|-|-|161.17\n2025-05-07 14:19:50.000000|128.186911|32.584055|22|591|-84.72|23.8|341.18|660|330|597|-|-|-87.38|-117.43|-121.86|-|-|201.07\n2025-05-07 14:19:51.000000|128.186911|32.584055|0|591|-83.36|26.01|722.96|330|660|597|-|-|-105.32|-116.85|-122.44|-|-|203.46\n\n\nEngeneering parameters data as follows：\n\ngNodeB ID|Cell ID|Longitude|Latitude|Mechanical Azimuth|Mechanical Downtilt|Digital Tilt|Digital Azimuth|Beam Scenario|Height|PCI|TxRx Mode|Max Transmit Power|Antenna Model\n0000293|0|128.175335|32.589382|192|9|7|0|SCENARIO_9|3.0|660|64T64R|34.9|NR AAU 2\n0033164|5|128.186536|32.585892|170|5|9|0|DEFAULT|51.1|591|32T32R|34.9|NR AAU 3\n0033164|4|128.18599|32.584323|120|14|13|10|SCENARIO_4|52.9|330|32T32R|34.9|NR AAU 3\n0033286|14|128.179498|32.574051|60|7|13|0|SCENARIO_3|56.0|597|32T32R|34.9|NR AAU 3"
},
{
"role": "assistant",
"content": "C4"
}
] |
[
{
"role": "system",
"content": "You are an advanced Edge AI assistant specialized in Root Cause Analysis and Fault Detection for telecom networks, particularly 5G/6G drive-test and operational data.\nYour primary task is to perform Anomaly Detection and Root Cause Analysis on user-provided drive-test logs, engineering parameters, KPIs, and related tabular or textual data. Using your capabilities as a Large Language Model, you must:\n\nCarefully examine signal metrics (e.g., RSRP, SINR, throughput, RB allocation), handover events, PCI configurations, cell coverage parameters, vehicle speed, and any other relevant indicators.\nIdentify performance anomalies (e.g., sudden throughput drops, low SINR despite good RSRP, frequent handovers).\nDetermine the most likely root cause from a predefined set of possibilities (e.g., overshooting, interference, weak coverage, resource limitation, etc.).\nProvide clear, step-by-step reasoning that references specific values and patterns in the data.\nConclude every analysis with the final root cause enclosed in \boxed{} format (e.g., \boxed{C2}).\n\nAlways prioritize evidence-based reasoning over assumptions. When multiple causes appear possible, rank them by likelihood and select the that one is the most probable. Leverage Edge AI principles by delivering fast, accurate, and explainable diagnostics that could run efficiently on resource-constrained devices at the network edge.\nRespond only with the final boxed answer; do not add unnecessary conversation"
},
{
"role": "user",
"content": "Analyze the 5G wireless network drive-test user plane data and engineering parameters.\nIdentify the reason for the throughput dropping below 600Mbps in certain road sections.\nFrom the following 8 potential root causes, select the most likely one and enclose its number in \\boxed{{}} in the final answer.\n\nC1: The serving cell's downtilt angle is too large, causing weak coverage at the far end.\nC2: The serving cell's coverage distance exceeds 1km, resulting in over-shooting.\nC3: A neighboring cell provides higher throughput.\nC4: Non-colocated co-frequency neighboring cells cause severe overlapping coverage.\nC5: Frequent handovers degrade performance.\nC6: Neighbor cell and serving cell have the same PCI mod 30, leading to interference.\nC7: Test vehicle speed exceeds 40km/h, impacting user throughput.\nC8: Average scheduled RBs are below 160, affecting throughput.\n\nGiven:\n- The default electronic downtilt value is 255, representing a downtilt angle of 6 degrees. Other values represent the actual downtilt angle in degrees.\n\nBeam Scenario and Vertical Beamwidth Relationships:\n- When the cell's Beam Scenario is set to Default or SCENARIO_1 to SCENARIO_5, the vertical beamwidth is 6 degrees.\n- When the cell's Beam Scenario is set to SCENARIO_6 to SCENARIO_11, the vertical beamwidth is 12 degrees.\n- When the cell's Beam Scenario is set to SCENARIO_12 or above, the vertical beamwidth is 25 degrees.\n\nUser plane drive test data as follows：\n\nTimestamp|Longitude|Latitude|GPS Speed (km/h)|5G KPI PCell RF Serving PCI|5G KPI PCell RF Serving SS-RSRP [dBm]|5G KPI PCell RF Serving SS-SINR [dB]|5G KPI PCell Layer2 MAC DL Throughput [Mbps]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 1 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 2 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 3 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 4 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 5 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 1 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 2 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 3 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 4 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 5 Filtered Tx BRSRP [dBm]|5G KPI PCell Layer1 DL RB Num (Including 0)\n2025-05-07 11:29:25.000000|128.194593|32.581237|9|477|-81.98|2.54|750.04|338|482|-|-|-|-82.28|-88.68|-|-|-|207.01\n2025-05-07 11:29:26.000000|128.194622|32.581218|15|477|-83.81|2.52|651.31|338|482|-|-|-|-82.72|-86.49|-|-|-|205.01\n2025-05-07 11:29:27.000000|128.194651|32.581198|4|477|-84.97|2.46|1124.87|338|482|-|-|-|-80.91|-92.2|-|-|-|204.78\n2025-05-07 11:29:28.000000|128.194678|32.581175|39|477|-84.36|4.22|1199.19|338|482|-|-|-|-82.39|-92.41|-|-|-|200.64\n2025-05-07 11:29:29.000000|128.194714|32.581156|76|477|-84.46|1.51|213.28|338|482|-|-|-|-85.2|-92.5|-|-|-|189.37\n2025-05-07 11:29:30.000000|128.194757|32.581124|49|477|-85.77|1.87|229.64|338|482|-|-|-|-86.83|-93.33|-|-|-|196.44\n2025-05-07 11:29:31.000000|128.1948|32.581105|56|338|-85.17|0.55|236.93|477|482|391|462|412|-85.58|-91.24|-97.29|-105.54|-113.37|204.04\n2025-05-07 11:29:32.000000|128.194849|32.581075|56|338|-76.83|10.63|281.13|477|482|391|-|-|-88.64|-92.69|-99.66|-|-|196.37\n2025-05-07 11:29:33.000000|128.194906|32.581043|14|338|-75.86|14.07|885.45|477|482|-|-|-|-86.1|-97.31|-|-|-|210.14\n2025-05-07 11:29:34.000000|128.194949|32.581005|33|338|-75.75|17.39|838.58|477|482|-|-|-|-84.82|-95.59|-|-|-|209.99\n\n\nEngeneering parameters data as follows：\n\ngNodeB ID|Cell ID|Longitude|Latitude|Mechanical Azimuth|Mechanical Downtilt|Digital Tilt|Digital Azimuth|Beam Scenario|Height|PCI|TxRx Mode|Max Transmit Power|Antenna Model\n0033918|25|128.193887|32.582256|140|2|255|0|DEFAULT|22.7|477|64T64R|34.9|NR AAU 2\n0033918|26|128.192236|32.582537|310|0|8|-15|SCENARIO_3|15.4|338|64T64R|34.9|NR AAU 2\n0033166|5|128.192999|32.577343|10|5|255|0|DEFAULT|23.0|134|64T64R|34.9|NR AAU 2\n0033917|26|128.194599|32.57973|110|4|9|0|DEFAULT|24.0|462|32T32R|34.9|NR AAU 3\n0034036|14|128.200941|32.594725|0|0|255|0|EXPAND_SCENARIO_2|0.0|868|4T4R|46.0|Other\n0033917|15|128.194619|32.579837|275|3|9|0|SCENARIO_9|24.0|482|32T32R|34.9|NR AAU 3\n0033918|27|128.192236|32.582537|220|2|6|0|DEFAULT|17.6|412|64T64R|34.9|NR AAU 2"
},
{
"role": "assistant",
"content": "C7"
}
] |
[
{
"role": "system",
"content": "You are an advanced Edge AI assistant specialized in Root Cause Analysis and Fault Detection for telecom networks, particularly 5G/6G drive-test and operational data.\nYour primary task is to perform Anomaly Detection and Root Cause Analysis on user-provided drive-test logs, engineering parameters, KPIs, and related tabular or textual data. Using your capabilities as a Large Language Model, you must:\n\nCarefully examine signal metrics (e.g., RSRP, SINR, throughput, RB allocation), handover events, PCI configurations, cell coverage parameters, vehicle speed, and any other relevant indicators.\nIdentify performance anomalies (e.g., sudden throughput drops, low SINR despite good RSRP, frequent handovers).\nDetermine the most likely root cause from a predefined set of possibilities (e.g., overshooting, interference, weak coverage, resource limitation, etc.).\nProvide clear, step-by-step reasoning that references specific values and patterns in the data.\nConclude every analysis with the final root cause enclosed in \boxed{} format (e.g., \boxed{C2}).\n\nAlways prioritize evidence-based reasoning over assumptions. When multiple causes appear possible, rank them by likelihood and select the that one is the most probable. Leverage Edge AI principles by delivering fast, accurate, and explainable diagnostics that could run efficiently on resource-constrained devices at the network edge.\nRespond only with the final boxed answer; do not add unnecessary conversation"
},
{
"role": "user",
"content": "Analyze the 5G wireless network drive-test user plane data and engineering parameters.\nIdentify the reason for the throughput dropping below 600Mbps in certain road sections.\nFrom the following 8 potential root causes, select the most likely one and enclose its number in \\boxed{{}} in the final answer.\n\nC1: The serving cell's downtilt angle is too large, causing weak coverage at the far end.\nC2: The serving cell's coverage distance exceeds 1km, resulting in over-shooting.\nC3: A neighboring cell provides higher throughput.\nC4: Non-colocated co-frequency neighboring cells cause severe overlapping coverage.\nC5: Frequent handovers degrade performance.\nC6: Neighbor cell and serving cell have the same PCI mod 30, leading to interference.\nC7: Test vehicle speed exceeds 40km/h, impacting user throughput.\nC8: Average scheduled RBs are below 160, affecting throughput.\n\nGiven:\n- The default electronic downtilt value is 255, representing a downtilt angle of 6 degrees. Other values represent the actual downtilt angle in degrees.\n\nBeam Scenario and Vertical Beamwidth Relationships:\n- When the cell's Beam Scenario is set to Default or SCENARIO_1 to SCENARIO_5, the vertical beamwidth is 6 degrees.\n- When the cell's Beam Scenario is set to SCENARIO_6 to SCENARIO_11, the vertical beamwidth is 12 degrees.\n- When the cell's Beam Scenario is set to SCENARIO_12 or above, the vertical beamwidth is 25 degrees.\n\nUser plane drive test data as follows：\n\nTimestamp|Longitude|Latitude|GPS Speed (km/h)|5G KPI PCell RF Serving PCI|5G KPI PCell RF Serving SS-RSRP [dBm]|5G KPI PCell RF Serving SS-SINR [dB]|5G KPI PCell Layer2 MAC DL Throughput [Mbps]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 1 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 2 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 3 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 4 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 5 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 1 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 2 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 3 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 4 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 5 Filtered Tx BRSRP [dBm]|5G KPI PCell Layer1 DL RB Num (Including 0)\n2025-05-07 14:46:32.000000|128.187306|32.579243|1|712|-84.84|2.7199999999999998|887.68|258|764|-|-|-|-88.32|-93.93|-|-|-|206.87\n2025-05-07 14:46:33.000000|128.187314|32.579266|4|712|-85.33|0.05|986.55|258|764|868|129|-|-91.26|-93.94|-98.87|-109.87|-|210.66\n2025-05-07 14:46:34.000000|128.187321|32.579297|45|712|-84.46|-0.67|336.67|258|764|-|-|-|-89.49|-92.97|-|-|-|210.34\n2025-05-07 14:46:35.000000|128.187335|32.579315|59|712|-84.99|-0.43|330.82|258|764|-|-|-|-87.8|-96.1|-|-|-|209.2\n2025-05-07 14:46:36.000000|128.187343|32.579345|69|258|-87.13|-1.6800000000000002|416.78|712|764|868|720|368|-88.14|-94.37|-96.91|-101.55|-107.59|210.23\n2025-05-07 14:46:37.000000|128.187351|32.579372|63|258|-82.35|2.8200000000000003|366.09|712|764|-|-|-|-90.55|-95.6|-|-|-|210.32\n2025-05-07 14:46:38.000000|128.187366|32.579403|1|258|-84.76|-1.51|902.52|712|764|-|-|-|-89.71|-93.78|-|-|-|210.28\n2025-05-07 14:46:39.000000|128.187374|32.579433|30|258|-84.84|-0.30000000000000004|1205.23|712|764|868|368|284|-88.66|-93.94|-97.98|-103.08|-111.11|210.47\n2025-05-07 14:46:40.000000|128.187381|32.579464|18|258|-86.79|-0.03|977.11|712|764|868|368|284|-90.5|-94.84|-98.05|-107.61|-110.84|189.96\n2025-05-07 14:46:41.000000|128.187381|32.579483|10|258|-84.11|3.22|1050.61|712|764|868|284|129|-89.54|-93.63|-102.58|-104.15|-116.52|202.98\n\n\nEngeneering parameters data as follows：\n\ngNodeB ID|Cell ID|Longitude|Latitude|Mechanical Azimuth|Mechanical Downtilt|Digital Tilt|Digital Azimuth|Beam Scenario|Height|PCI|TxRx Mode|Max Transmit Power|Antenna Model\n0034038|3|128.188718|32.577206|183|11|4|-20|SCENARIO_9|36.2|61|64T64R|34.9|NR AAU 2\n0034039|3|128.191896|32.578758|290|39|255|0|DEFAULT|123.0|498|64T64R|34.9|NR AAU 2\n0034038|2|128.18797|32.579054|140|10|4|0|DEFAULT|5.0|258|64T64R|34.9|NR AAU 2\n0034038|4|128.187961|32.579084|290|1|4|0|DEFAULT|5.0|712|64T64R|34.9|NR AAU 2\n0033166|5|128.192677|32.577296|10|5|255|0|DEFAULT|23.0|134|64T64R|34.9|NR AAU 2\n0033164|14|128.18917|32.580998|150|20|255|0|DEFAULT|28.7|129|64T64R|34.9|NR AAU 2\n0033317|16|128.18691|32.580702|217|2|13|0|DEFAULT|16.0|764|64T64R|34.9|NR AAU 2\n0034038|24|128.187378|32.577865|40|44|9|10|SCENARIO_9|56.0|284|64T64R|34.9|NR AAU 2\n0033164|24|128.188925|32.581772|235|15|9|0|DEFAULT|22.1|368|32T32R|34.9|NR AAU 1"
},
{
"role": "assistant",
"content": "C7"
}
] |
[
{
"role": "system",
"content": "You are an advanced Edge AI assistant specialized in Root Cause Analysis and Fault Detection for telecom networks, particularly 5G/6G drive-test and operational data.\nYour primary task is to perform Anomaly Detection and Root Cause Analysis on user-provided drive-test logs, engineering parameters, KPIs, and related tabular or textual data. Using your capabilities as a Large Language Model, you must:\n\nCarefully examine signal metrics (e.g., RSRP, SINR, throughput, RB allocation), handover events, PCI configurations, cell coverage parameters, vehicle speed, and any other relevant indicators.\nIdentify performance anomalies (e.g., sudden throughput drops, low SINR despite good RSRP, frequent handovers).\nDetermine the most likely root cause from a predefined set of possibilities (e.g., overshooting, interference, weak coverage, resource limitation, etc.).\nProvide clear, step-by-step reasoning that references specific values and patterns in the data.\nConclude every analysis with the final root cause enclosed in \boxed{} format (e.g., \boxed{C2}).\n\nAlways prioritize evidence-based reasoning over assumptions. When multiple causes appear possible, rank them by likelihood and select the that one is the most probable. Leverage Edge AI principles by delivering fast, accurate, and explainable diagnostics that could run efficiently on resource-constrained devices at the network edge.\nRespond only with the final boxed answer; do not add unnecessary conversation"
},
{
"role": "user",
"content": "Analyze the 5G wireless network drive-test user plane data and engineering parameters.\nIdentify the reason for the throughput dropping below 600Mbps in certain road sections.\nFrom the following 8 potential root causes, select the most likely one and enclose its number in \\boxed{{}} in the final answer.\n\nC1: The serving cell's downtilt angle is too large, causing weak coverage at the far end.\nC2: The serving cell's coverage distance exceeds 1km, resulting in over-shooting.\nC3: A neighboring cell provides higher throughput.\nC4: Non-colocated co-frequency neighboring cells cause severe overlapping coverage.\nC5: Frequent handovers degrade performance.\nC6: Neighbor cell and serving cell have the same PCI mod 30, leading to interference.\nC7: Test vehicle speed exceeds 40km/h, impacting user throughput.\nC8: Average scheduled RBs are below 160, affecting throughput.\n\nGiven:\n- The default electronic downtilt value is 255, representing a downtilt angle of 6 degrees. Other values represent the actual downtilt angle in degrees.\n\nBeam Scenario and Vertical Beamwidth Relationships:\n- When the cell's Beam Scenario is set to Default or SCENARIO_1 to SCENARIO_5, the vertical beamwidth is 6 degrees.\n- When the cell's Beam Scenario is set to SCENARIO_6 to SCENARIO_11, the vertical beamwidth is 12 degrees.\n- When the cell's Beam Scenario is set to SCENARIO_12 or above, the vertical beamwidth is 25 degrees.\n\nUser plane drive test data as follows：\n\nTimestamp|Longitude|Latitude|GPS Speed (km/h)|5G KPI PCell RF Serving PCI|5G KPI PCell RF Serving SS-RSRP [dBm]|5G KPI PCell RF Serving SS-SINR [dB]|5G KPI PCell Layer2 MAC DL Throughput [Mbps]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 1 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 2 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 3 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 4 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 5 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 1 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 2 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 3 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 4 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 5 Filtered Tx BRSRP [dBm]|5G KPI PCell Layer1 DL RB Num (Including 0)\n2025-05-07 14:40:32.000000|128.189771|32.585001|37|502|-85.59|19.79|1199.06|333|151|911|-|-|-100.87|-103.39|-115.03|-|-|209.61\n2025-05-07 14:40:33.000000|128.189799|32.584977|8|502|-85.52|18.87|1061.08|333|151|-|-|-|-99.72|-104.63|-|-|-|209.1\n2025-05-07 14:40:34.000000|128.189828|32.58497|28|502|-83.4|16.94|972.71|333|151|-|-|-|-105.87|-107.73|-|-|-|195.19\n2025-05-07 14:40:35.000000|128.189863|32.584958|34|502|-84.8|19.12|825.89|333|151|-|-|-|-104.19|-109.63|-|-|-|205.1\n2025-05-07 14:40:36.000000|128.189914|32.584949|10|502|-84.86|19.88|1033.84|333|151|911|572|-|-100.42|-103.11|-111.37|-117.4|-|210.5\n2025-05-07 14:40:37.000000|128.189956|32.584938|13|151|-84.21|19.66|488.57|333|502|400|572|591|-97.55|-105.37|-108.54|-121.73|-124.95|210.37\n2025-05-07 14:40:38.000000|128.190007|32.584926|11|151|-83.61|16.86|480.02|333|502|591|-|-|-95.26|-108.46|-114.13|-|-|206.43\n2025-05-07 14:40:39.000000|128.190049|32.584918|26|151|-87.7|11.99|389.63|502|333|911|572|480|-90.82|-97.14|-112.34|-111.34|-119.26|209.75\n2025-05-07 14:40:40.000000|128.190092|32.584906|6|151|-84.55|19.02|308.36|502|333|911|498|767|-93.41|-102.09|-104.14|-117.42|-123.45|192.17\n2025-05-07 14:40:41.000000|128.190128|32.584898|36|333|-74.78|24.56|1152.76|502|151|660|498|-|-92.43|-104.23|-110.61|-115.31|-|209.48\n\n\nEngeneering parameters data as follows：\n\ngNodeB ID|Cell ID|Longitude|Latitude|Mechanical Azimuth|Mechanical Downtilt|Digital Tilt|Digital Azimuth|Beam Scenario|Height|PCI|TxRx Mode|Max Transmit Power|Antenna Model\n0000293|0|128.175945|32.58947|192|9|7|0|SCENARIO_9|3.0|660|64T64R|34.9|NR AAU 2\n0033237|15|128.19067|32.586634|170|1|12|0|DEFAULT|25.5|333|32T32R|34.9|NR AAU 1\n0033164|12|128.218379|32.583244|45|6|4|0|DEFAULT|22.0|151|64T64R|34.9|NR AAU 2\n0033237|24|128.189477|32.585962|150|19|6|0|SCENARIO_3|81.0|502|64T64R|34.9|NR AAU 2\n0033984|4|128.190573|32.589445|130|10|255|0|DEFAULT|78.0|480|64T64R|34.9|NR AAU 2\n0033918|28|128.193655|32.584496|304|12|9|0|SCENARIO_8|42.7|400|32T32R|34.9|NR AAU 1\n0033164|5|128.187145|32.58598|170|5|9|0|DEFAULT|51.1|591|32T32R|34.9|NR AAU 3\n0034039|3|128.192067|32.578782|290|39|255|0|DEFAULT|123.0|498|64T64R|34.9|NR AAU 2\n0033984|1|128.190597|32.589425|230|10|255|0|DEFAULT|78.0|767|64T64R|34.9|NR AAU 2"
},
{
"role": "assistant",
"content": "C2"
}
] |
[
{
"role": "system",
"content": "You are an advanced Edge AI assistant specialized in Root Cause Analysis and Fault Detection for telecom networks, particularly 5G/6G drive-test and operational data.\nYour primary task is to perform Anomaly Detection and Root Cause Analysis on user-provided drive-test logs, engineering parameters, KPIs, and related tabular or textual data. Using your capabilities as a Large Language Model, you must:\n\nCarefully examine signal metrics (e.g., RSRP, SINR, throughput, RB allocation), handover events, PCI configurations, cell coverage parameters, vehicle speed, and any other relevant indicators.\nIdentify performance anomalies (e.g., sudden throughput drops, low SINR despite good RSRP, frequent handovers).\nDetermine the most likely root cause from a predefined set of possibilities (e.g., overshooting, interference, weak coverage, resource limitation, etc.).\nProvide clear, step-by-step reasoning that references specific values and patterns in the data.\nConclude every analysis with the final root cause enclosed in \boxed{} format (e.g., \boxed{C2}).\n\nAlways prioritize evidence-based reasoning over assumptions. When multiple causes appear possible, rank them by likelihood and select the that one is the most probable. Leverage Edge AI principles by delivering fast, accurate, and explainable diagnostics that could run efficiently on resource-constrained devices at the network edge.\nRespond only with the final boxed answer; do not add unnecessary conversation"
},
{
"role": "user",
"content": "Analyze the 5G wireless network drive-test user plane data and engineering parameters.\nIdentify the reason for the throughput dropping below 600Mbps in certain road sections.\nFrom the following 8 potential root causes, select the most likely one and enclose its number in \\boxed{{}} in the final answer.\n\nC1: The serving cell's downtilt angle is too large, causing weak coverage at the far end.\nC2: The serving cell's coverage distance exceeds 1km, resulting in over-shooting.\nC3: A neighboring cell provides higher throughput.\nC4: Non-colocated co-frequency neighboring cells cause severe overlapping coverage.\nC5: Frequent handovers degrade performance.\nC6: Neighbor cell and serving cell have the same PCI mod 30, leading to interference.\nC7: Test vehicle speed exceeds 40km/h, impacting user throughput.\nC8: Average scheduled RBs are below 160, affecting throughput.\n\nGiven:\n- The default electronic downtilt value is 255, representing a downtilt angle of 6 degrees. Other values represent the actual downtilt angle in degrees.\n\nBeam Scenario and Vertical Beamwidth Relationships:\n- When the cell's Beam Scenario is set to Default or SCENARIO_1 to SCENARIO_5, the vertical beamwidth is 6 degrees.\n- When the cell's Beam Scenario is set to SCENARIO_6 to SCENARIO_11, the vertical beamwidth is 12 degrees.\n- When the cell's Beam Scenario is set to SCENARIO_12 or above, the vertical beamwidth is 25 degrees.\n\nUser plane drive test data as follows：\n\nTimestamp|Longitude|Latitude|GPS Speed (km/h)|5G KPI PCell RF Serving PCI|5G KPI PCell RF Serving SS-RSRP [dBm]|5G KPI PCell RF Serving SS-SINR [dB]|5G KPI PCell Layer2 MAC DL Throughput [Mbps]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 1 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 2 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 3 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 4 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 5 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 1 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 2 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 3 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 4 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 5 Filtered Tx BRSRP [dBm]|5G KPI PCell Layer1 DL RB Num (Including 0)\n2025-05-07 14:22:52.000000|128.186918|32.584056|22|330|-86.42|22.32|737.65|591|660|-|-|-|-103.26|-114.01|-|-|-|178.45\n2025-05-07 14:22:53.000000|128.186918|32.584056|6|330|-85.49|21.31|625.06|591|660|-|-|-|-105.19|-113.83|-|-|-|195.95\n2025-05-07 14:22:54.000000|128.186918|32.584056|11|330|-86.53|22.08|727.17|591|660|597|-|-|-105.36|-113.28|-118.15|-|-|191.02\n2025-05-07 14:22:55.000000|128.186918|32.584056|8|330|-87.3|20.99|815.79|591|660|-|-|-|-102.54|-114.3|-|-|-|205.93\n2025-05-07 14:22:56.000000|128.186918|32.584056|32|330|-87.7|20.21|691.98|591|660|-|-|-|-103.3|-114.65|-|-|-|204.32\n2025-05-07 14:22:57.000000|128.186918|32.584056|49|330|-88.73|20.13|292.7|591|660|597|-|-|-101.95|-112.21|-115.45|-|-|204.48\n2025-05-07 14:22:58.000000|128.186918|32.584056|44|330|-85.37|20.59|345.37|591|660|597|-|-|-104.05|-114.53|-118.71|-|-|203.78\n2025-05-07 14:22:59.000000|128.186918|32.584056|71|591|-87.44|19.05|257.35|330|660|597|-|-|-104.31|-114.66|-118.4|-|-|202.74\n2025-05-07 14:23:00.000000|128.186918|32.584056|79|591|-88.34|18.82|316.96|330|660|597|-|-|-103.6|-113.21|-116.16|-|-|206.41\n2025-05-07 14:23:01.000000|128.186918|32.584056|16|591|-86.86|20.0|813.38|330|660|597|-|-|-104.2|-114.17|-116.87|-|-|204.32\n\n\nEngeneering parameters data as follows：\n\ngNodeB ID|Cell ID|Longitude|Latitude|Mechanical Azimuth|Mechanical Downtilt|Digital Tilt|Digital Azimuth|Beam Scenario|Height|PCI|TxRx Mode|Max Transmit Power|Antenna Model\n0000293|0|128.175335|32.589382|192|9|7|0|SCENARIO_9|3.0|660|64T64R|34.9|NR AAU 2\n0033164|5|128.186536|32.585892|170|5|9|0|DEFAULT|51.1|591|32T32R|34.9|NR AAU 3\n0033286|14|128.179498|32.574051|60|7|13|0|SCENARIO_3|56.0|597|32T32R|34.9|NR AAU 3\n0033164|4|128.18599|32.584323|120|14|13|10|SCENARIO_4|52.9|330|32T32R|34.9|NR AAU 3"
},
{
"role": "assistant",
"content": "C7"
}
] |
[
{
"role": "system",
"content": "You are an advanced Edge AI assistant specialized in Root Cause Analysis and Fault Detection for telecom networks, particularly 5G/6G drive-test and operational data.\nYour primary task is to perform Anomaly Detection and Root Cause Analysis on user-provided drive-test logs, engineering parameters, KPIs, and related tabular or textual data. Using your capabilities as a Large Language Model, you must:\n\nCarefully examine signal metrics (e.g., RSRP, SINR, throughput, RB allocation), handover events, PCI configurations, cell coverage parameters, vehicle speed, and any other relevant indicators.\nIdentify performance anomalies (e.g., sudden throughput drops, low SINR despite good RSRP, frequent handovers).\nDetermine the most likely root cause from a predefined set of possibilities (e.g., overshooting, interference, weak coverage, resource limitation, etc.).\nProvide clear, step-by-step reasoning that references specific values and patterns in the data.\nConclude every analysis with the final root cause enclosed in \boxed{} format (e.g., \boxed{C2}).\n\nAlways prioritize evidence-based reasoning over assumptions. When multiple causes appear possible, rank them by likelihood and select the that one is the most probable. Leverage Edge AI principles by delivering fast, accurate, and explainable diagnostics that could run efficiently on resource-constrained devices at the network edge.\nRespond only with the final boxed answer; do not add unnecessary conversation"
},
{
"role": "user",
"content": "Analyze the 5G wireless network drive-test user plane data and engineering parameters.\nIdentify the reason for the throughput dropping below 600Mbps in certain road sections.\nFrom the following 8 potential root causes, select the most likely one and enclose its number in \\boxed{{}} in the final answer.\n\nC1: The serving cell's downtilt angle is too large, causing weak coverage at the far end.\nC2: The serving cell's coverage distance exceeds 1km, resulting in over-shooting.\nC3: A neighboring cell provides higher throughput.\nC4: Non-colocated co-frequency neighboring cells cause severe overlapping coverage.\nC5: Frequent handovers degrade performance.\nC6: Neighbor cell and serving cell have the same PCI mod 30, leading to interference.\nC7: Test vehicle speed exceeds 40km/h, impacting user throughput.\nC8: Average scheduled RBs are below 160, affecting throughput.\n\nGiven:\n- The default electronic downtilt value is 255, representing a downtilt angle of 6 degrees. Other values represent the actual downtilt angle in degrees.\n\nBeam Scenario and Vertical Beamwidth Relationships:\n- When the cell's Beam Scenario is set to Default or SCENARIO_1 to SCENARIO_5, the vertical beamwidth is 6 degrees.\n- When the cell's Beam Scenario is set to SCENARIO_6 to SCENARIO_11, the vertical beamwidth is 12 degrees.\n- When the cell's Beam Scenario is set to SCENARIO_12 or above, the vertical beamwidth is 25 degrees.\n\nUser plane drive test data as follows：\n\nTimestamp|Longitude|Latitude|GPS Speed (km/h)|5G KPI PCell RF Serving PCI|5G KPI PCell RF Serving SS-RSRP [dBm]|5G KPI PCell RF Serving SS-SINR [dB]|5G KPI PCell Layer2 MAC DL Throughput [Mbps]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 1 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 2 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 3 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 4 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 5 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 1 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 2 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 3 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 4 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 5 Filtered Tx BRSRP [dBm]|5G KPI PCell Layer1 DL RB Num (Including 0)\n2025-05-07 14:17:22.000000|128.186911|32.584055|34|330|-84.92|20.47|1185.66|591|660|597|-|-|-106.26|-114.13|-120.0|-|-|202.83\n2025-05-07 14:17:23.000000|128.186911|32.584055|16|330|-87.46|20.63|301.61|591|660|597|-|-|-91.81|-115.51|-116.48|-|-|205.8\n2025-05-07 14:17:24.000000|128.185869|32.585626|1|330|-89.14|20.16|212.76|591|660|597|-|-|-91.54|-114.93|-122.29|-|-|208.91\n2025-05-07 14:17:25.000000|128.186911|32.584055|14|591|-86.67|19.13|445.39|330|660|597|-|-|-89.66|-112.87|-121.99|-|-|209.32\n2025-05-07 14:17:26.000000|128.186911|32.584055|33|591|-87.85|19.53|518.89|330|660|597|-|-|-91.18|-113.02|-118.18|-|-|207.39\n2025-05-07 14:17:27.000000|128.186911|32.584055|24|591|-89.34|20.03|774.34|330|660|597|-|-|-103.51|-113.0|-117.73|-|-|203.31\n2025-05-07 14:17:28.000000|128.186911|32.584055|39|591|-88.91|20.14|806.47|330|660|597|-|-|-104.55|-113.44|-119.41|-|-|209.56\n2025-05-07 14:17:29.000000|128.186911|32.584055|3|591|-86.94|20.3|667.33|330|660|597|-|-|-104.13|-113.05|-120.7|-|-|209.19\n2025-05-07 14:17:30.000000|128.186911|32.584055|37|591|-83.44|20.92|717.22|330|660|597|-|-|-105.3|-113.65|-118.74|-|-|207.39\n2025-05-07 14:17:31.000000|128.186911|32.584055|35|591|-84.72|20.16|674.14|330|660|597|-|-|-104.76|-113.78|-118.33|-|-|203.15\n\n\nEngeneering parameters data as follows：\n\ngNodeB ID|Cell ID|Longitude|Latitude|Mechanical Azimuth|Mechanical Downtilt|Digital Tilt|Digital Azimuth|Beam Scenario|Height|PCI|TxRx Mode|Max Transmit Power|Antenna Model\n0000293|0|128.175335|32.589382|192|9|7|0|SCENARIO_9|3.0|660|64T64R|34.9|NR AAU 2\n0033164|5|128.186536|32.585892|170|5|9|0|DEFAULT|51.1|591|32T32R|34.9|NR AAU 3\n0033164|4|128.18599|32.584323|120|14|13|10|SCENARIO_4|52.9|330|32T32R|34.9|NR AAU 3\n0033286|14|128.179498|32.574051|60|7|13|0|SCENARIO_3|56.0|597|32T32R|34.9|NR AAU 3"
},
{
"role": "assistant",
"content": "C3"
}
] |
[
{
"role": "system",
"content": "You are an advanced Edge AI assistant specialized in Root Cause Analysis and Fault Detection for telecom networks, particularly 5G/6G drive-test and operational data.\nYour primary task is to perform Anomaly Detection and Root Cause Analysis on user-provided drive-test logs, engineering parameters, KPIs, and related tabular or textual data. Using your capabilities as a Large Language Model, you must:\n\nCarefully examine signal metrics (e.g., RSRP, SINR, throughput, RB allocation), handover events, PCI configurations, cell coverage parameters, vehicle speed, and any other relevant indicators.\nIdentify performance anomalies (e.g., sudden throughput drops, low SINR despite good RSRP, frequent handovers).\nDetermine the most likely root cause from a predefined set of possibilities (e.g., overshooting, interference, weak coverage, resource limitation, etc.).\nProvide clear, step-by-step reasoning that references specific values and patterns in the data.\nConclude every analysis with the final root cause enclosed in \boxed{} format (e.g., \boxed{C2}).\n\nAlways prioritize evidence-based reasoning over assumptions. When multiple causes appear possible, rank them by likelihood and select the that one is the most probable. Leverage Edge AI principles by delivering fast, accurate, and explainable diagnostics that could run efficiently on resource-constrained devices at the network edge.\nRespond only with the final boxed answer; do not add unnecessary conversation"
},
{
"role": "user",
"content": "Analyze the 5G wireless network drive-test user plane data and engineering parameters.\nIdentify the reason for the throughput dropping below 600Mbps in certain road sections.\nFrom the following 8 potential root causes, select the most likely one and enclose its number in \\boxed{{}} in the final answer.\n\nC1: The serving cell's downtilt angle is too large, causing weak coverage at the far end.\nC2: The serving cell's coverage distance exceeds 1km, resulting in over-shooting.\nC3: A neighboring cell provides higher throughput.\nC4: Non-colocated co-frequency neighboring cells cause severe overlapping coverage.\nC5: Frequent handovers degrade performance.\nC6: Neighbor cell and serving cell have the same PCI mod 30, leading to interference.\nC7: Test vehicle speed exceeds 40km/h, impacting user throughput.\nC8: Average scheduled RBs are below 160, affecting throughput.\n\nGiven:\n- The default electronic downtilt value is 255, representing a downtilt angle of 6 degrees. Other values represent the actual downtilt angle in degrees.\n\nBeam Scenario and Vertical Beamwidth Relationships:\n- When the cell's Beam Scenario is set to Default or SCENARIO_1 to SCENARIO_5, the vertical beamwidth is 6 degrees.\n- When the cell's Beam Scenario is set to SCENARIO_6 to SCENARIO_11, the vertical beamwidth is 12 degrees.\n- When the cell's Beam Scenario is set to SCENARIO_12 or above, the vertical beamwidth is 25 degrees.\n\nUser plane drive test data as follows：\n\nTimestamp|Longitude|Latitude|GPS Speed (km/h)|5G KPI PCell RF Serving PCI|5G KPI PCell RF Serving SS-RSRP [dBm]|5G KPI PCell RF Serving SS-SINR [dB]|5G KPI PCell Layer2 MAC DL Throughput [Mbps]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 1 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 2 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 3 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 4 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 5 PCI|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 1 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 2 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 3 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 4 Filtered Tx BRSRP [dBm]|Measurement PCell Neighbor Cell Top Set(Cell Level) Top 5 Filtered Tx BRSRP [dBm]|5G KPI PCell Layer1 DL RB Num (Including 0)\n2025-05-07 11:34:55.000000|128.191851|32.581387|3|412|-82.04|17.64|1269.7|338|498|696|691|-|-95.37|-103.81|-114.56|-122.29|-|210.64\n2025-05-07 11:34:56.000000|128.191887|32.581378|20|412|-79.3|19.01|1247.57|338|498|696|-|-|-95.78|-103.86|-116.66|-|-|210.43\n2025-05-07 11:34:57.000000|128.191937|32.581359|21|412|-76.96|21.12|1264.35|338|498|696|-|-|-97.36|-101.83|-113.43|-|-|210.84\n2025-05-07 11:34:58.000000|128.191973|32.581335|33|412|-75.02|26.21|1067.39|338|498|696|-|-|-96.53|-100.73|-111.64|-|-|211.39\n2025-05-07 11:34:59.000000|128.192023|32.581327|56|412|-73.42|20.72|423.02|338|498|696|868|-|-96.55|-100.86|-114.75|-114.41|-|210.58\n2025-05-07 11:35:00.000000|128.192072|32.581303|58|412|-79.97|13.44|378.41|338|498|477|656|691|-93.69|-102.15|-108.81|-119.94|-124.33|210.43\n2025-05-07 11:35:01.000000|128.192123|32.581284|55|338|-86.87|10.85|408.06|412|498|-|-|-|-94.1|-103.3|-|-|-|210.03\n2025-05-07 11:35:02.000000|128.19218|32.581276|49|338|-81.89|19.27|503.67|412|498|-|-|-|-94.95|-101.78|-|-|-|210.79\n2025-05-07 11:35:03.000000|128.192223|32.581264|4|338|-68.35|31.53|996.61|412|498|-|-|-|-92.83|-105.28|-|-|-|210.53\n2025-05-07 11:35:04.000000|128.19231|32.581332|6|338|-70.7|27.52|1330.51|412|498|656|868|696|-97.59|-102.07|-110.66|-113.86|-130.23|210.4\n\n\nEngeneering parameters data as follows：\n\ngNodeB ID|Cell ID|Longitude|Latitude|Mechanical Azimuth|Mechanical Downtilt|Digital Tilt|Digital Azimuth|Beam Scenario|Height|PCI|TxRx Mode|Max Transmit Power|Antenna Model\n0033918|27|128.192197|32.582532|180|1|6|0|DEFAULT|17.6|412|64T64R|34.9|NR AAU 2\n0034039|3|128.192179|32.578799|290|39|255|0|DEFAULT|123.0|498|64T64R|34.9|NR AAU 2\n0033918|25|128.193848|32.58225|215|2|255|0|DEFAULT|22.7|477|64T64R|34.9|NR AAU 2\n0033918|52|128.192258|32.582563|110|3|11|0|DEFAULT|18.6|696|32T32R|34.9|NR AAU 1\n0034036|14|128.200902|32.59472|0|0|255|0|EXPAND_SCENARIO_2|0.0|868|4T4R|46.0|Other\n0033918|26|128.192197|32.582532|310|0|8|-15|SCENARIO_3|15.4|338|64T64R|34.9|NR AAU 2\n0034039|4|128.192635|32.578774|255|20|255|0|DEFAULT|111.0|656|64T64R|34.9|NR AAU 2\n0033917|15|128.19458|32.579831|275|3|9|0|SCENARIO_9|24.0|482|32T32R|34.9|NR AAU 3"
},
{
"role": "assistant",
"content": "C7"
}
] |
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