On-Demand and Scalable Topology Control Service for LEO Satellite Network Evolving

Long Chen, Yi Ching Chou, Haoyuan Zhao, Hengzhi Wang, Feng Wang, Hao Fang, Sami Ma, Feilong Tang, Linghe Kong, Jiangchuan Liu

Abstract: Inter-Satellite Links (ISLs) are pivotal for delivering global connectivity services and optimizing resource utilization in 6G and beyond. However, delivering effective topology control services through ISL provisioning faces critical challenges in sustainability and reliability. Reducing ISLs can conserve energy and extend satellite battery life for Low-Earth-Orbit (LEO) satellites where replacing batteries is impractical. Conversely, increasing ISLs can enhance service reliability but may lead to uneven traffic distribution, overloading nodes, and accelerating battery degradation, ultimately degrading the quality of 6G services. To tackle this dilemma, we propose TASRI—a service-oriented framework for Traffic-Aware, Sustainable, and Reliable ISL provisioning. TASRI provides a dynamic topology control service by partitioning network topologies into logical zones, enabling flexible ISL activation and deactivation to adapt to varying service demands, ensuring efficient resource utilization and dynamic service orchestration. Using a sustainability-oriented weight model, we formulate the topology control service optimization problem and introduce a scalable on-demand topology evolving algorithm with a bounded approximation ratio. Extensive real-world deployment-based simulation results show that, compared to the state-of-the-art, our TASRI can substantially reduce battery life consumption, while achieving comparable reliability and excellent scalability with considerably fewer ISLs or ISL handovers.

External IDs:dblp:journals/tsc/ChenCZWWFMTKL25