AI-RAN congestion scenario

Wireless KPI observability pack comparing a baseline cell with a pre/post scenario event on CELL_001.
Baseline RMSE
4.39
prb_dl_util
Scenario RMSE
4.11
prb_dl_util
Risk tier
Congested
project-defined PRB threshold
Forecast RMSE ratio
0.94x
higher than baseline indicates stress
Network health summary
What this means: AI-RAN congestion scenario changes prb_dl_util from 40.71 pre-event to 51.95 during the scenario window. Operationally, the useful signal is not autonomous control; it is an early warning that lets a Non-RT workflow compare forecast error, capacity pressure, and the next monitoring action: review traffic-steering candidate timing.
RunCellTargetPre-shock MeanShock MeanPeakMAE
BaselineCELL_001prb_dl_util44.0139.3075.243.62
CongestionCELL_001prb_dl_util40.7151.9577.053.30
Throughput before/after: 125.50 to 106.10 Mbps. Latency before/after: 18.24 to 23.57 ms.
Risk tiers are project-defined over PRB DL utilization: Stable <60, Elevated 60-74.99, Congested 75-84.99, Critical >=85. They are decision-support thresholds, not operator SLA values.
Baseline forecast
AI-RAN KPI forecast: prb_dl_util actual, hold-out prediction, and forward forecast actual hold-out prediction forecast 2024-01-06 16:00:00+00:00 → 2024-01-08 23:00:00+00:00
Congestion forecast
AI-RAN KPI forecast: prb_dl_util actual, hold-out prediction, and forward forecast actual hold-out prediction forecast 2024-01-06 16:00:00+00:00 → 2024-01-08 23:00:00+00:00
Baseline impact
Before / After KPI impact historical telemetry versus forecast horizon Before: actual history After: forecast horizon Before average 51.63 After average 64.33 Impact +12.70 (+24.6%) peak before 74.17 | peak after 65.15
Congestion impact
Before / After KPI impact historical telemetry versus forecast horizon Before: actual history After: forecast horizon Before average 51.63 After average 65.41 Impact +13.78 (+26.7%) peak before 74.17 | peak after 66.05