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

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.

preprint2020arXivOpen access
Yuwei HuangXiaopeng MoJie XuLing QiuYong Zeng
math.ITInformation Theoryeess.SP
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Open access5 authors3 topics
Imported metadata coverageMissing code, dataset, citation and institution fields are tracked without dominating the paper.Details
Citations: 0Reviews: 0Saves: 0Code: not linkedDataset: not linkedInstitutions: 0

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Yuwei HuangXiaopeng MoJie XuLing QiuYong Zeng

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