Online Maneuver Design for UAV-Enabled NOMA Systems via Reinforcement Learning
arXiv:1908.03984
Abstract
This paper considers an unmanned aerial vehicle enabled-up link non-orthogonal multiple-access system, where multiple mobile users on the ground send independent messages to a unmanned aerial vehicle in the sky via non-orthogonal multiple-access transmission. Our objective is to design the unmanned aerial vehicle dynamic maneuver for maximizing the sum-rate throughput of all mobile ground users over a finite time horizon.
arXiv commentThis paper is to appear in IEEE WCNC 2020
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