Stigmergy and Hierarchical Learning for Routing Optimization in Multi-Domain Collaborative Satellite Networks-Reference-Cited by-同舟云学术

Stigmergy and Hierarchical Learning for Routing Optimization in Multi-Domain Collaborative Satellite Networks

Published:2024-05 Issue:5 Volume:42 Page:1188-1203
ISSN:0733-8716
Container-title:IEEE Journal on Selected Areas in Communications
language:
Short-container-title:IEEE J. Select. Areas Commun.

Author:

Li Yuanfeng¹^ORCID,Zhang Qi¹^ORCID,Yao Haipeng²^ORCID,Gao Ran³,Xin Xiangjun¹^ORCID,Yu F. Richard⁴^ORCID

Affiliation:

1. School of Electronic Engineering, Beijing Key Laboratory of Space-Ground Interconnection and Convergence, State Key Laboratory of Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications (BUPT), Beijing, China

2. School of Information and Communication Engineering, Beijing University of Posts and Telecommunications (BUPT), Beijing, China

3. School of Information and Electronics, Beijing Institution of Technology, Beijing, China

4. School of Information Technology, Carleton University, Ottawa, ON, Canada

Funder

National Key Research and Development Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/49/10529142/10472431.pdf?arnumber=10472431

Reference33 articles.

1. Satellite Communications in the New Space Era: A Survey and Future Challenges

2. Learning to Routing in UAV Swarm Network: A Multi-agent Reinforcement Learning Approach

3. Three-Stage Stackelberg Game Enabled Clustered Federated Learning in Heterogeneous UAV Swarms

4. Transfer Reinforcement Learning aided Distributed Network Slicing Resource Optimization in Industrial IoT

5. Joint Multi-Task Offloading and Resource Allocation for Mobile Edge Computing Systems in Satellite IoT

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