Exploring foci of:
arXiv (Cornell University)
UAV-Assisted Enhanced Coverage and Capacity in Dynamic MU-mMIMO IoT Systems: A Deep Reinforcement Learning Approach
April 2024 • 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 between the base station (BS) and multiple Internet-of-Things (IoT) devices. Our primary objective is to maximize the overall achievable rate (AR) by introducing a novel framework that integrates joint hybrid beamforming (HBF) and UAV localization in dynamic MU-mMIMO IoT systems. Particularly, HBF stages for BS and UAV are designed by lever…
Reinforcement Learning
Computer Science
Particle Swarm Optimization
Relay
Base Station
Simulation
Artificial Intelligence
Algorithm
Evolutionary Biology
Biology
Physics
Quantum Mechanics