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Multi-UAV Trajectory Design and Power Control Based on Deep Reinforcement Learning

Chiya Zhang Shiyuan Liang Chunlong He Kezhi Wang

通信与信息网络学报（英文）2022，Vol.7Issue(2)：P.192-201,10.

Multi-UAV Trajectory Design and Power Control Based on Deep Reinforcement Learning

Chiya Zhang ¹Shiyuan Liang ²Chunlong He ²Kezhi Wang³

作者信息

1. School of Electronic and Information Engineering,Harbin Institute of Technology,Shenzhen 518055,China
2. National Mobile Communications Research Laboratory,Southeast University,Nanjing 211189.China
3. School of Computer Sciences and Electrical Engineering.Northumbria University,5995 Newcastle upon Tyne,Newcastle,United Kingdom of Great Britain and Northern Ireland,UK NE18ST,UK
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摘要

关键词

multi-UAV and multi-user wireless system/UAV/powercontrol/trajectorydesign/throughputmaxi-mization/SAC

分类

航空航天

引用本文复制引用

Chiya Zhang,Shiyuan Liang,Chunlong He,Kezhi Wang..Multi-UAV Trajectory Design and Power Control Based on Deep Reinforcement Learning[J].通信与信息网络学报（英文）,2022,7(2):P.192-201,10.

基金项目

National Nat-ural Science Foundation of China(62101161) （62101161）

Shenzhen Basic Research Program(20200811192821001) （20200811192821001）

Shenzhen Basic Research Program(JCYJ20190808122409660) （JCYJ20190808122409660）

Guangdong Basic Research Program(2019A1515110358) （2019A1515110358）

Guangdong Basic Research Program(2021A1515012097) （2021A1515012097）

Guangdong Basic Research Program(2020ZDZX1037) （2020ZDZX1037）

Guangdong Basic Research Program(2020ZDZX1021) （2020ZDZX1021）

open research fund of National Mobile Communications Research Laboratory,Southeast University(2021D16) （2021D16）

open research fund of National Mobile Communications Research Laboratory,Southeast University(2022D02)。（2022D02）

通信与信息网络学报（英文）

OACSCDEI

ISSN：2096-1081

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