Dynamic Routing for Integrated Satellite-Terrestrial Networks: A Constrained Multi-Agent Reinforcement Learning Approach-Reference-Cited by-同舟云学术

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Dynamic Routing for Integrated Satellite-Terrestrial Networks: A Constrained Multi-Agent Reinforcement Learning Approach

Published:2024-05 Issue:5 Volume:42 Page:1204-1218
ISSN:0733-8716
Container-title:IEEE Journal on Selected Areas in Communications
language:
Short-container-title:IEEE J. Select. Areas Commun.

Author:

Lyu Yifeng¹^ORCID,Hu Han¹^ORCID,Fan Rongfei²^ORCID,Liu Zhi³^ORCID,An Jianping²^ORCID,Mao Shiwen⁴^ORCID

Affiliation:

1. School of Information and Electronics, Beijing Institute of Technology, Beijing, China

2. School of Cyberspace Science and Technology, Beijing Institute of Technology, Beijing, China

3. Graduate School of Informatics and Engineering, The University of Electro-Communications, Tokyo, Japan

4. Department of Electrical and Computer Engineering, Auburn University, Auburn, AL, USA

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/49/10529142/10436098.pdf?arnumber=10436098

Reference49 articles.

1. Towards Energy-Efficient Routing in Satellite Networks

2. Routing Algorithm with Virtual Topology Toward to Huge Numbers of LEO Mobile Satellite Network Based on SDN

3. Enabling Low-latency-capable Satellite-Ground Topology for Emerging LEO Satellite Networks

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhanced Time Discretization for Temporal Graph-Based Continuous Service Provisioning in Large-Scale Satellite Networks;IEEE Wireless Communications Letters;2024-09

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