A new reinforcement learning algorithm, EMOPPO-VLH, jointly optimizes UAV positions and beamforming weights to serve a moving ground user while minimizing flight energy.
Distributed and collaborative beamforming in wireless sensor networks: Clas- sifications, trends, and research directions,
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Aerial Reliable Collaborative Communications for Terrestrial Mobile Users via Evolutionary Multi-Objective Deep Reinforcement Learning
A new reinforcement learning algorithm, EMOPPO-VLH, jointly optimizes UAV positions and beamforming weights to serve a moving ground user while minimizing flight energy.