Packet Routing in Dynamic Multi-Hop UAV Relay Network: A Multi-Agent Learning Approach-Reference-Cited by-同舟云学术

Packet Routing in Dynamic Multi-Hop UAV Relay Network: A Multi-Agent Learning Approach

Published:2022-09 Issue:9 Volume:71 Page:10059-10072
ISSN:0018-9545
Container-title:IEEE Transactions on Vehicular Technology
language:
Short-container-title:IEEE Trans. Veh. Technol.

Author:

Ding Ruijin¹^ORCID,Chen Jiawei¹^ORCID,Wu Wen²^ORCID,Liu Jun³^ORCID,Gao Feifei¹^ORCID,Shen Xuemin⁴^ORCID

Affiliation:

1. Institute for Artificial Intelligence Tsinghua University (THUAI), State Key Lab of Intelligent Technologies and Systems, Beijing National Research Center for Information Science and Technology (BNRist), Department of Automation, Tsinghua University, Beijing, China

2. Frontier Research Center, Peng Cheng Laboratory, Shenzhen, Guangdong, China

3. Institute of Network Sciences and Cyberspace, Tsinghua University, Beijing, China

4. Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Tsinghua University Initiative Scientific Research Program

Guoqiang Institute

Tsinghua University

Beijing Municipal Natural Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/25/9894033/09795858.pdf?arnumber=9795858

Reference42 articles.

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4. Multi-Agent Reinforcement Learning-Based Resource Allocation for UAV Networks

5. 3D UAV Trajectory Design and Frequency Band Allocation for Energy-Efficient and Fair Communication: A Deep Reinforcement Learning Approach

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