6 papers
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…
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…
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…
Communication in a Fractional World: MIMO MC-OTFS Precoder Prediction
Evan Allen, Karim Said, Robert Calderbank +1
As 6G technologies advance, international bodies and regulatory agencies are intensifying efforts to extend seamless connectivity especially for high-mobility scenarios such as Mob…
Mobile Distributed MIMO (MD-MIMO) for NextG: Mobility Meets Cooperation in Distributed Arrays
Karim A. Said, Yibin Liang, Usama Saeed +13
Distributed multiple-input multiple-output (D\mbox{-}MIMO) is a promising technology to realize the promise of massive MIMO gains by fiber-connecting the distributed antenna arrays…
Distributed Uplink Joint Transmission for 6G Communication
Kumar Sai Bondada, Usama Saeed, Yibin Liang +3
This paper investigates the spectral efficiency achieved through uplink joint transmission, where a serving user and the network users (UEs) collaborate by jointly transmitting to…