5 papers
UAV-Assisted Enhanced Coverage and Capacity in Dynamic MU-mMIMO IoT Systems: A Deep Reinforcement Learning Approach
MohammadMahdi Ghadaksaz, Mobeen Mahmood, Tho Le-Ngoc
This study focuses on a multi-user massive multiple-input multiple-output (MU-mMIMO) system by incorporating an unmanned aerial vehicle (UAV) as a decode-and-forward (DF) relay bet…
Multiple UAV-Assisted Cooperative DF Relaying in Multi-User Massive MIMO IoT Systems
Mobeen Mahmood, Yicheng Yuan, Tho Le-Ngoc
This work considers a multi-user massive multiple-input multiple-output (MU-mMIMO) Internet-of-Things (IoT) system, where multiple unmanned aerial vehicles (UAVs) operating as deco…
Adaptive Modulus RF Beamforming for Enhanced Self-Interference Suppression in Full-Duplex Massive MIMO Systems
Mobeen Mahmood, Yuanxing Zhang, Robert Morawski +1
This study employs a uniform rectangular array (URA) sub-connected hybrid beamforming (SC-HBF) architecture to provide a novel self-interference (SI) suppression scheme in a full-d…
Deep Learning Meets Swarm Intelligence for UAV-Assisted IoT Coverage in Massive MIMO
Mobeen Mahmood, MohammadMahdi Ghadaksaz, Asil Koc +1
This study considers a UAV-assisted multi-user massive multiple-input multiple-output (MU-mMIMO) systems, where a decode-and-forward (DF) relay in the form of an unmanned aerial ve…
Sub-Array Selection in Full-Duplex Massive MIMO for Enhanced Self-Interference Suppression
Mobeen Mahmood, Asil Koc, Duc Tuong Nguyen +2
This study considers a novel full-duplex (FD) massive multiple-input multiple-output (mMIMO) system using hybrid beamforming (HBF) architecture, which allows for simultaneous uplin…