Demonstration platform of programmable constellation in  large-scale LEO satellite optical networks

Y. Jing; Y. Zhao; W. Wang; H. Wang; J. Zhang

doi:10.1117/12.2625110

27 March 2022 Demonstration platform of programmable constellation in large-scale LEO satellite optical networks

Y. Jing, Y. Zhao, W. Wang, H. Wang, J. Zhang

Proceedings Volume 12169, Eighth Symposium on Novel Photoelectronic Detection Technology and Applications; 121698B (2022) https://doi.org/10.1117/12.2625110
Event: Eighth Symposium on Novel Photoelectronic Detection Technology and Applications, 2021, Kunming, China

Abstract

The performance of LEO satellite optical networks varies with the satellite constellation. For simulating the performance of highly dynamic LEO satellite optical networks in different constellations quickly, this paper designs a constellation programmable large-scale LEO satellite optical network platform. The platform takes the parameters of the constellation and the change of inter-satellite link and ground-to-satellite link as input to build the dynamic network topology. For reducing the redundant storage of the link-state, the paper proposes a novel satellite network topology representation data structure, which combines the initial topology and the circular mapping linked list, to dynamically build topology that change over time. Based on the platform, we have conducted the performance evaluation of different constellations with different numbers of ground-to-satellite links. The simulation results show that the inclined orbit constellation cannot cover the polar regions of high latitudes, while in the area that can be covered by the constellation, there are more ground-to-satellite links in inclined orbit constellation.

Citation Download Citation

Y. Jing, Y. Zhao, W. Wang, H. Wang, and J. Zhang "Demonstration platform of programmable constellation in large-scale LEO satellite optical networks", Proc. SPIE 12169, Eighth Symposium on Novel Photoelectronic Detection Technology and Applications, 121698B (27 March 2022); https://doi.org/10.1117/12.2625110

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