This file provides the direct output of the Agentic AI Orchestration layer for a representative network scenario.
- Throughput: 715.0 Mbps
- Latency: 11.0 ms
- Reliability: 99.967%
- Density: 2533.0 devices/km²
- Mobility: 58.0 km/h
- Tool 1: Predict_Degradation (Random Forest):
Predicted Network State: Scale lag - Tool 2: Assess_Link_Stability (K-Means Clustering):
Link Stability Cluster: 2 - Unstable (Degraded)
The Agentic Advisor (powered by LangChain and LLM) synthesized the following reasoning based on 3GPP TS 23.501 specifications:
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1. Observations & Scenario Analysis The network is experiencing high device density (2533 devices/km²) with moderate mobility. ML tools indicate a "Scale lag" state, suggesting that the current resource allocation is not keeping pace with the dynamic load. The link stability has degraded into an "Unstable" regime (Cluster 2).
2. 3GPP-Compliant Recommendations
- Vertical/Horizontal Scaling: Trigger immediate horizontal scaling for the eMBB slice to mitigate the "Scale lag" error. This is critical to maintain the 715Mbps throughput in a high-density scenario.
- Mobility Management (TS 23.501): Adjust the
Time-To-TriggerandHysteresisparameters for handover. The 58km/h mobility requires faster handover decisions to prevent RLF (Radio Link Failure) in the unstable regime. - URLLC Prioritization: If URLLC flows are active, pre-emptively shift them to a dedicated resource pool with prioritized 5QI identifiers to guarantee reliability (>99.999%) while the eMBB slice recovers.
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