A two-stage ML anomaly detection pipeline on O-RAN KPI data predicts user throughput degradation and filters weak neighbor cells, reducing handover candidates by 41.27% on average.
A Vision of 6G Wireless Systems: Applications, Trends, Technologies, and Open Research Problems
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Machine Learning-Driven Anomaly Detection for 5G O-RAN Performance Metrics
A two-stage ML anomaly detection pipeline on O-RAN KPI data predicts user throughput degradation and filters weak neighbor cells, reducing handover candidates by 41.27% on average.