Reinforcement Learning for Maneuver Design in UAV-Enabled NOMA System with Segmented Channel

08/12/2019

∙

by   Yuwei Huang, et al.

∙

0

∙

share

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.