Multi-Agent Reinforcement Learning Based UAV Swarm Communications Against Jamming-Reference-Cited by-同舟云学术

Multi-Agent Reinforcement Learning Based UAV Swarm Communications Against Jamming

Published:2023-12 Issue:12 Volume:22 Page:9063-9075
ISSN:1536-1276
Container-title:IEEE Transactions on Wireless Communications
language:
Short-container-title:IEEE Trans. Wireless Commun.

Author:

Lv Zefang¹^ORCID,Xiao Liang¹^ORCID,Du Yousong¹^ORCID,Niu Guohang¹^ORCID,Xing Chengwen²^ORCID,Xu Wenyuan³

Affiliation:

1. Department of Information and Communication Engineering and the Key Laboratory of Multimedia Trusted Perception and Efficient Computing, Xiamen University, Xiamen, China

2. School of Information and Electronics, Beijing Institute of Technologies, Beijing, China

3. College of Electrical Engineering, Zhejiang University, Zhejiang, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications

Link

http://xplorestaging.ieee.org/ielx7/7693/10354275/10107729.pdf?arnumber=10107729

Reference31 articles.

1. Survey of Important Issues in UAV Communication Networks

2. Dynamic Interference Management for UAV-Assisted Wireless Networks

3. Intelligent UAV Swarm Cooperation for Multiple Targets Tracking

4. Relay Selection and Power Allocation for Energy Efficiency Maximization in Hybrid Satellite-UAV Networks With CoMP-NOMA Transmission

5. Accessing From the Sky: A Tutorial on UAV Communications for 5G and Beyond

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