通信与信息网络学报（英文）2020，Vol.5Issue(4)：393-402,10.
Deep Q-Network Based Dynamic Trajectory Design for UAV-Aided Emergency Communications
Deep Q-Network Based Dynamic Trajectory Design for UAV-Aided Emergency Communications
Liang Wang 1Kezhi Wang 1Cunhua Pan 2Xiaomin Chen 1Nauman Aslam1
作者信息
- 1. Department of Computer and Information Science,Northumbria University,Newcastle upon Tyne,NE1 8ST,U.K.
- 2. School of Electronic Engineering and Computer Science,Queen Mary University of London,London,E1 4NS,U.K.
- 折叠
摘要
关键词
deep reinforcement learning/deep Q-network(DQN)/successive convex approximation(SCA)/UAV/power controlKey words
deep reinforcement learning/deep Q-network(DQN)/successive convex approximation(SCA)/UAV/power control引用本文复制引用
Liang Wang,Kezhi Wang,Cunhua Pan,Xiaomin Chen,Nauman Aslam..Deep Q-Network Based Dynamic Trajectory Design for UAV-Aided Emergency Communications[J].通信与信息网络学报（英文）,2020,5(4):393-402,10.
