Research Article
A DQN-Based Routing Algorithm for Load Balancing in LEO Satellite Networks
@INPROCEEDINGS{10.1007/978-3-031-86196-3_2, author={Ziqi Sun and Jing Meng and Ruofei Ma and Gongliang Liu and Xiaoling Che and Guodong Kang}, title={A DQN-Based Routing Algorithm for Load Balancing in LEO Satellite Networks}, proceedings={Wireless and Satellite Systems. 14th EAI International Conference, WiSATS 2024, Harbin, China, August 23--25, 2024, Proceedings, Part I}, proceedings_a={WISATS}, year={2025}, month={3}, keywords={LEO Network Routing Algorithm Load Balancing DQN}, doi={10.1007/978-3-031-86196-3_2} }- Ziqi Sun
Jing Meng
Ruofei Ma
Gongliang Liu
Xiaoling Che
Guodong Kang
Year: 2025
A DQN-Based Routing Algorithm for Load Balancing in LEO Satellite Networks
WISATS
Springer
DOI: 10.1007/978-3-031-86196-3_2
Abstract
With the rapid development and popularization of low orbit satellite networks, their importance in global communication coverage and data transmission continues to be highlighted. However, due to the particularity of LEO(Low Earth Orbit) satellite networks, such as highspeed operation, limited channel capacity, and large latency, poses challenges to network load balancing and routing scheduling. The current routing algorithms for low orbit satellite networks mostly use traditional methods such as Dijkstra's shortest path, which lack real-time adaptability and intelligence to the high mobility of the network. Therefore, based on the deep reinforcement learning intelligent routing algorithm of DQN(Deep Q Network) has become a new approach to solve this problem. By combining the multidimensional information of LEO satellite networks and the advantages of DQN, this study proposes a new load balancing intelligent routing algorithm that comprehensively considers inter satellite link connectivity and link load conditions, and jointly optimizes multiple objectives. The aim is to improve network performance, reduce latency, and provide technical support and solutions for the future development of low orbit satellite networks.
