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cs.NI2026
ML-Based Real-Time Downlink Performance Prediction in Standalone 5G NR Using Smartphones
Md Mahfuzur Rahman, Jareen Shuva, Nishith Tripathi +2
We propose a machine learning (ML)-based framework for downlink performance prediction in 5G networks using real-time measurements from commercial off-the-shelf (COTS) user equipme…
cs.NI2026
ML and Smartphones Assisted Real-Time Uplink Performance Prediction in 5G Cellular System
Md Mahfuzur Rahman, Jareen Shuva, Nishith Tripathi +2
We propose a machine learning (ML) and smartphone-assisted framework for uplink performance prediction in a private, realistic 5G cellular system using real-time measurements in bo…
cs.NI2023
On the Role of 5G and Beyond Sidelink Communication in Multi-Hop Tactical Networks
Charles E. Thornton, Evan Allen, Evar Jones +3
This work investigates the potential of 5G and beyond sidelink (SL) communication to support multi-hop tactical networks. We first provide a technical and historical overview of 3G…