Federated Reinforcement Learning with Constellation Collaboration for Dynamic Laser Inter-Satellite Link Scheduling-Reference-Cited by-同舟云学术

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Federated Reinforcement Learning with Constellation Collaboration for Dynamic Laser Inter-Satellite Link Scheduling

Published:2024-06-09 Issue: Volume: Page:3815-3820
ISSN:
Container-title:ICC 2024 - IEEE International Conference on Communications
language:
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Author:

Wang Guanhua¹,Yang Fang¹,Song Jian¹,Han Zhu²

Affiliation:

1. Tsinghua University,Beijing National Research Center for Information Science and Technology,Department of Electronic Engineering,Beijing,P. R. China,100084

2. University of Houston,Department of Electrical and Computer Engineering,Houston,TX,USA,77004

Funder

NSF

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10622104/10622158/10622277.pdf?arnumber=10622277

Reference16 articles.

1. A technical comparison of three low earth orbit satellite constellation systems to provide global broadband

2. Optical inter-satellite link terminals for next generation satellite constellations

3. Analysis of Inter-Satellite Link Paths for LEO Mega-Constellation Networks

4. Laser Intersatellite Links in a Starlink Constellation: A Classification and Analysis

5. Temporary Laser Inter-Satellite Links in Free-Space Optical Satellite Networks

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