跳到主要导航 跳到搜索 跳到主要内容

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*
  • *此作品的通讯作者
  • Simon Fraser University
  • Shenzhen University
  • University of Mississippi
  • Shanghai Jiao Tong University

科研成果: 期刊稿件文章同行评审

摘要

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.

源语言英语
页(从-至)2238-2253
页数16
期刊IEEE Transactions on Services Computing
18
4
DOI
出版状态已出版 - 2025
已对外发布

指纹

探究 'On-Demand and Scalable Topology Control Service for LEO Satellite Network Evolving' 的科研主题。它们共同构成独一无二的指纹。

引用此