A Centralized–Distributed Joint Routing Algorithm for LEO Satellite Constellations Based on Multi-Agent Reinforcement Learning

A Centralized–Distributed Joint Routing Algorithm for LEO Satellite Constellations Based on Multi-Agent Reinforcement Learning

Designing routing algorithms for Low Earth Orbit (LEO) satellite networks poses a significant challenge due to their high dynamics, frequent link failures, and unevenly distributed traffic. Existing studies predominantly focus on shortest-path solutions, which compute minimum-delay paths using globa...

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Bibliographic Details
Main Authors: Licheng Xia, Baojun Lin, Shuai Zhao, Yanchun Zhao
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Applied Sciences
Subjects:
satellite network
low earth orbit
reinforcement learning
distributed routing
Online Access:https://www.mdpi.com/2076-3417/15/9/4664
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