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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2502.14422 |
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| _version_ | 1866912342648815616 |
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| author | Liao, Yuan Cheng, Kan Lu, Fan Jin, Hao Yang, Zhaohui |
| author_facet | Liao, Yuan Cheng, Kan Lu, Fan Jin, Hao Yang, Zhaohui |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2502_14422 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Towards Routing and Edge Computing in Satellite-Terrestrial Networks: A Column Generation Approach Liao, Yuan Cheng, Kan Lu, Fan Jin, Hao Yang, Zhaohui Systems and Control 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. |
| title | Towards Routing and Edge Computing in Satellite-Terrestrial Networks: A Column Generation Approach |
| topic | Systems and Control |
| url | https://arxiv.org/abs/2502.14422 |