Kavli Affiliate: Feng Wang
| First 5 Authors: Yi Ching Chou, Long Chen, Hengzhi Wang, Feng Wang, Hao Fang
| Summary:
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.
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