Efficient Exploration Through Bootstrapped and Bayesian Deep Q-Networks for Joint Power Control and Beamforming in mmWave Networks
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Communications Letters"
DOI: 10.1109/lcomm.2022.3227194
Abstract: Efficient exploration is critical in deploying Deep Reinforcement Learning (DRL) for joint power control and beamforming in mmWave networks. This letter proposes Bootstrapped and Bayesian Deep Q-Network (B2DQN), a DRL algorithm based on both Bootstrap… read more here.
Keywords: efficient exploration; power control; beamforming mmwave; control beamforming ... See more keywords
Joint User Scheduling, Phase Shift Control, and Beamforming Optimization in Intelligent Reflecting Surface-Aided Systems
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Wireless Communications"
DOI: 10.1109/twc.2022.3159187
Abstract: In this paper, we formulate a joint uplink scheduling, phase shift control, and beamforming optimization problem in intelligent reflecting surface (IRS)-aided systems. We consider maximizing the aggregate throughput and achieving the proportional fairness as objectives.… read more here.
Keywords: phase shift; shift control; user scheduling; control beamforming ... See more keywords