1 citations · 2 across the 4 of their papers we have counts for
4 papers
Deep Reinforcement Learning Coordinated Receiver Beamforming for Millimeter-Wave Train-ground Communications
Xutao Zhou, Xiangfei Zhang, Chen Chen +6
As more and more people choose high-speed rail (HSR) as a means of transportation for short trips, there is ever growing demand of high quality of multimedia services. With its ric…
3TO: THz-Enabled Throughput and Trajectory Optimization of UAVs in 6G Networks by Proximal Policy Optimization Deep Reinforcement Learning
Sheikh Salman Hassan, Yu Min Park, Yan Kyaw Tun +3
Next-generation networks need to meet ubiquitous and high data-rate demand. Therefore, this paper considers the throughput and trajectory optimization of terahertz (THz)-enabled un…
Blue Data Computation Maximization in 6G Space-Air-Sea Non-Terrestrial Networks
Sheikh Salman Hassan, Yan Kyaw Tun, Walid Saad +2
Non-terrestrial networks (NTN), encompassing space and air platforms, are a key component of the upcoming sixth-generation (6G) cellular network. Meanwhile, maritime network traffi…
Adaptive Stochastic ADMM for Decentralized Reinforcement Learning in Edge Industrial IoT
Wanlu Lei, Yu Ye, Ming Xiao +2
Edge computing provides a promising paradigm to support the implementation of Industrial Internet of Things (IIoT) by offloading tasks to nearby edge nodes. Meanwhile, the increasi…