OCUDU AI-RAN: Building an Open Framework for Per-UE Intelligence
AI-RAN Series Release 2 introduces an open framework for machine-learning-based adaptive Buffer Status Report (BSR) configuration in OCUDU RAN. The release lets the RAN learn each individual UE's traffic behaviour, predict its uplink packet arrival pattern, and dynamically adapt the periodicBSR-Timer per UE at runtime. A small learned model (SVR over Random Fourier Features) predicts the next uplink interarrival, snaps it to the nearest legal TS 38.331 timer, and reconfigures the UE over F1AP, trading signalling cost against how quickly the gNB learns of new uplink data. Disabled by default, it falls back cleanly to the static timer.