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arXiv · 1908.03984

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

Yuwei Huang·Xiaopeng Mo·Jie Xu·Ling Qiu·Yong Zeng
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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.

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Yuwei Huang, Xiaopeng Mo, Jie Xu, Ling Qiu, Yong Zeng. 2019-08-12. Online Maneuver Design for UAV-Enabled NOMA Systems via Reinforcement Learning. https://arxiv.org/abs/1908.03984

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