Efficient Satellite-Ground Interconnection Design for Low-Orbit Mega-Constellation Topology

The low-orbit mega-constellation network (LMCN) is an important part of the space-air-ground integrated network system. An effective satellite-ground interconnection design can result in a stable constellation topology for LMCNs. A naïve solution is accessing the satellite with the longest remaining service time (LRST), which is widely used in previous designs. The Coordinated Satellite-Ground Interconnecting (CSGI), the state-of-the-art algorithm, coordinates the establishment of ground-satellite links (GSLs). Compared with existing solutions, it reduces latency by 19% and jitter by 70% on average. However, CSGI only supports the scenario where terminals access only one satellite, and cannot fully utilize the multi-access capabilities of terminals. Additionally, CSGI's high computational complexity poses deployment challenges. To overcome these problems, we propose the Classification-based Longest Remaining Service Time (C-LRST) algorithm. C-LRST supports the actual scenario with multi-access capabilities. It adds optional paths during routing with low computational complexity, improving end-to-end communications quality. We conduct our 1000 s simulation from Brazil to Lithuania on the open-source platform Hypatia. Experiment results show that compared with CSGI, C-LRST reduces the latency and increases the throughput by approximately 60% and 40%, respectively. In addition, C-LRST's GSL switchings number is 14, whereas CSGI is 23. C-LRST has better link stability than CSGI.

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Publication Details

Journal
IEEE Transactions on Mobile Computing
Published
2024-11-04
DOI
https://doi.org/10.1109/tmc.2024.3490575
Citations
5
Primary Topic
Satellite Communication Systems
Type
article
Field-Weighted Citation Impact
6.49

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article

Efficient Satellite-Ground Interconnection Design for Low-Orbit Mega-Constellation Topology

Handong Luo, Yue Gao, Wenhao Liu, Zhe Chen et al.
5 citations
IEEE Transactions on Mobile Computing
Satellite Communication Systems
6.49
article

Efficient Satellite-Ground Interconnection Design for Low-Orbit Mega-Constellation Topology

Handong Luo, Yue Gao, Wenhao Liu, Zhe Chen, Qi Zhang, Kun Qiu, J.D. Wu, Quanwei Lin
article en
5 citations

Abstract

The low-orbit mega-constellation network (LMCN) is an important part of the space-air-ground integrated network system. An effective satellite-ground interconnection design can result in a stable constellation topology for LMCNs. A naïve solution is accessing the satellite with the longest remaining service time (LRST), which is widely used in previous designs. The Coordinated Satellite-Ground Interconnecting (CSGI), the state-of-the-art algorithm, coordinates the establishment of ground-satellite links (GSLs). Compared with existing solutions, it reduces latency by 19% and jitter by 70% on average. However, CSGI only supports the scenario where terminals access only one satellite, and cannot fully utilize the multi-access capabilities of terminals. Additionally, CSGI's high computational complexity poses deployment challenges. To overcome these problems, we propose the Classification-based Longest Remaining Service Time (C-LRST) algorithm. C-LRST supports the actual scenario with multi-access capabilities. It adds optional paths during routing with low computational complexity, improving end-to-end communications quality. We conduct our 1000 s simulation from Brazil to Lithuania on the open-source platform Hypatia. Experiment results show that compared with CSGI, C-LRST reduces the latency and increases the throughput by approximately 60% and 40%, respectively. In addition, C-LRST's GSL switchings number is 14, whereas CSGI is 23. C-LRST has better link stability than CSGI.

IEEE Transactions on Mobile ComputingVol. 24(3)
Fudan University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 4%
Satellite Communication Systems
6.49
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Efficient Satellite-Ground Interconnection Design for Low-Orbit Mega-Constellation Topology — Handong Luo, Yue Gao, et al. · IEEE Transactions on Mobile Computing (2024) | TGRS Research Map | TGRS