A new reinforcement learning algorithm, EMOPPO-VLH, jointly optimizes UAV positions and beamforming weights to serve a moving ground user while minimizing flight energy.
UAV-enabled secure communications via collaborative beamforming with imperfect eavesdropper information,
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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.