Towards Routing and Edge Computing in Satellite-Terrestrial Networks: A Column Generation Approach
Edge computing that enables satellites to process raw data locally is expected to bring further timeliness and flexibility to satellite-terrestrial networks (STNs). In this letter, we propose a three-layer edge computing protocol, where raw data collected by the satellites can be processed locally,...
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Main Authors | , , , , |
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Format | Journal Article |
Language | English |
Published |
20.02.2025
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Subjects | |
Online Access | Get full text |
DOI | 10.48550/arxiv.2502.14422 |
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Summary: | Edge computing that enables satellites to process raw data locally is
expected to bring further timeliness and flexibility to satellite-terrestrial
networks (STNs). In this letter, we propose a three-layer edge computing
protocol, where raw data collected by the satellites can be processed locally,
or transmitted to other satellites or the ground station via multi-hop routing
for further processing. The overall computing capacity of the proposed
framework is maximized by determining the offloading strategy and routing
formation, subject to channel capacity and hop constraints. Given that the
problem scale grows exponentially with the number of satellites and
maximum-allowed hops, the column generation approach is employed to obtain the
global optimal solution by activating only a subset of variables. Numerical
results reveal that the proposed three-layer computing protocol, when
tolerating a 5-hop routing latency, achieves a 60% improvement in computation
capacity compared to the single-layer local computing configuration. |
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DOI: | 10.48550/arxiv.2502.14422 |