3 papers
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.ET2025
Developing an NTN Architecture for End-to-End Performance Evaluation
Md Mahfuzur Rahman, Nishith Tripathi, Jeffrey H. Reed +1
Non-Terrestrial Networks (NTN) are emerging as critical enablers of global connectivity, particularly in remote, unserved, underserved, or maritime regions lacking traditional infr…