rApp

Technical Explanation

rApps operate on slower, network-wide timescales to perform strategic optimization. By ingesting massive historical performance telemetry via O1/O2 interfaces, rApps detect chronic interference patterns, train federated machine learning models, dynamically reallocate spectrum across slices, and feed updated inference policies to edge xApps via the A1 interface.

Key Functions

• Strategic network-wide optimization operating on timescales >1 second
• Training and retraining machine learning models using centralized telemetry lakes
• Autonomous cell sleep-mode scheduling slashing nationwide network energy consumption
• Automated root-cause analysis of dropped connections and SLA degradations
• Feeding declarative A1 policy constraints to real-time edge controllers