SMART-RIC6G: Smart Drift-Handling Enabler forRAN Intelligent Controllers in 6G Networks

This work demonstrates a real-time drift detection, analysis, and adaptation by leveraging an AI/ML framework integrated O-RAN. This is achieved with real time data collection from open interfaces which would be used by intelligent controllers (i.e., Non-RT RIC) for training and inference purposes of AI/ML models. The proposed drift-handling automation monitors network performance metrics to identify model drift with minimal data and computation overheads and then adapts to current network conditions by either retraining the model or replacing it with an available pre-trained model.