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Cooperative observation, relay and computation in LEO satellite systems
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DOI：10.23919/jcc.fa.2025-0234.202604.png)
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Abstract
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Low earth orbit (LEO) satellites have recently been applied in various Earth observation applications, generating massive observation data. Promptly transmitting such observation data to the ground is hindered by satellite-ground transmission links with limited data rates. To address this challenge, effective transmission and orbital edge computing schemes are explored to enable continuous transmission and computation offloading via inter-satellite links (ISLs). However, most existing works primarily emphasize the joint optimization of computation and communication resources while ignoring the distribution of observation resources and the coexistence of heterogeneous tasks, thus resulting in degraded performance due to the mismatch between satellite resources and heterogeneous task requirements. This paper proposes cooperatively scheduling satellites for observation, relay, and computation to maximize the number of completed observation tasks with diverse requirements, which is formulated as a mixed-integer linear programming problem constrained by satellites' observation, transmission, and computing resources. An iterative resource-aware scheduling algorithm, JORCA, is designed to find the solution by decomposing the original problem into two sub-problems. Extensive experimental results reveal that JORCA can improve the number of completed observation tasks by up to 40.6% compared to the benchmark policies.
Keywords:
cooperative observation and computation
heterogeneous observation tasks
inter-satellite communications
LEO satellite systems
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