A maximum-entropy mean-field deep Q-network is proposed for joint trajectory, user association, and power control in dense UAV networks.
Wireles s communication using unmanned aerial vehicles (UA Vs): Opti mal transport theory for hover time optimization,
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Dynamic Trajectory and Power Control in Ultra-Dense UAV Networks: A Mean-Field Reinforcement Learning Approach
A maximum-entropy mean-field deep Q-network is proposed for joint trajectory, user association, and power control in dense UAV networks.