Online Maneuver Design for UAV-Enabled NOMA Systems via Reinforcement Learning
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Abstract (arXiv)
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.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). First posted on arXiv 12 Aug 2019.
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1 paper.