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

Autor:	Huang, Yuwei, Mo, Xiaopeng, Xu, Jie, Qiu, Ling, Zeng, Yong
Rok vydání:	2019
Předmět:	Computer Science - Information Theory Electrical Engineering and Systems Science - Signal Processing
Druh dokumentu:	Working Paper
Popis:	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. Comment: This paper is to appear in IEEE WCNC 2020
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1908.03984 Zobrazit plný text záznamu View this record from Arxiv