OCUDU AI-RAN Release 3 : ML-Based CSI Prediction for Intelligent 5G Scheduling
OCUDU AI-RAN Release 3 improves downlink link adaptation by predicting channel quality reports instead of relying on periodically received, potentially stale data. The system utilizes two prediction engines, a linear filter and a neural network, to forecast per-user channel trends and inform scheduling decisions. This pipeline compiles a complete stack, collects over-the-air channel data for training, and runs live base stations with the predictive scheduler. Benchmarking demonstrates performance gains compared to conventional methods while maintaining standards compliance through arithmetic operations within the DU without new signaling or external dependencies. The framework offers automatic fallback mechanisms ensuring operational safety.