Supervised regression models trained on COTS smartphone PHY data predict 5G throughput and BLER across LOS, nLOS, mobility, and multi-user scenarios.
Predicting inter-frequency measurements in an LTE net- work using supervised machine learning: a comparative study of learning algorithms and data processing techniques
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ML-Based Real-Time Downlink Performance Prediction in Standalone 5G NR Using Smartphones
Supervised regression models trained on COTS smartphone PHY data predict 5G throughput and BLER across LOS, nLOS, mobility, and multi-user scenarios.