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This paper considers an unmanned aerial vehicle enabled-up linknon-orthogonal multiple-access system, where multiple mobile users on theground send independent messages to a unmanned aerial vehicle in the sky vianon-orthogonal multiple-access transmission. Our objective is to design theunmanned aerial vehicle dynamic maneuver for maximizing the sum-rate throughputof all mobile ground users over a finite time horizon.

Online Maneuver Design for UAV-Enabled NOMA Systems via Reinforcement Learning