arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1908.03984cs.ITeess.SPmath.IT

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

Yuwei Huang, Xiaopeng Mo, Jie Xu, Ling Qiu, Yong Zeng

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑