Commercial Dishes Can Be My Ladder: Sustainable and Collaborative Data Offloading in LEO Satellite Networks
Yi Ching Chou, Long Chen, Hengzhi Wang, Feng Wang, Hao Fang, Haoyuan Zhao, Miao Zhang, Xiaoyi Fan, Jiangchuan Liu
TL;DR
This work tackles sustainable data routing in LEO satellite networks by enabling data offloading to existing commercial dishes via a coordinated framework called SusCO. It introduces a reverse auction-based mechanism and two key algorithms—Collaborator Group Set Construction (CGSC) and Collaborator Selection and Total Payment (CSTP)—to form candidate dish groups, select winners, and determine payments that respect QoS and budget constraints. The offloading utility blends energy savings, latency improvements, and extended satellite service life, discounted by dish reliability, and the framework demonstrates significant reductions in energy consumption, longer satellite lifespans, and lower end-to-end latency in extensive simulations against state-of-the-art baselines. Practically, SusCO offers a scalable, incentive-compatible approach to leverage terrestrial GSaaS resources, reducing capital expenditure on ground infrastructure while improving QoS and sustainability for LEO networks.
Abstract
Low Earth Orbit (LEO) satellite networks, characterized by their high data throughput and low latency, have gained significant interest from both industry and academia. Routing data efficiently within these networks is essential for maintaining a high quality of service. However, current routing strategies, such as bent-pipe and inter-satellite link (ISL) routing, have their unique challenges. The bent-pipe strategy requires a dense deployment of dedicated ground stations, while the ISL-based strategy can negatively impact satellite battery lifespan due to increased traffic load, leading to sustainability issues. In this paper, we propose sustainable collaborative offloading, a framework that orchestrates groups of existing commercial resources like ground stations and 5G base stations for data offloading. This orchestration enhances total capacity, overcoming the limitations of a single resource. We propose the collaborator group set construction algorithm to construct candidate groups and the collaborator selection and total payment algorithm to select offloading targets and determine payments no less than the costs. Extensive real-world-based simulations show that our solution significantly improves energy consumption, satellite service life, and end-to-end latency.
