Study on Gateway Station Deployment for Large Scale LEO Satellite Constellation Networks

2022 IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom) Pub Date : 2022-12-01 DOI:10.1109/trustcom56396.2022.00220

Lei Cheng, Shuaijun Liu, Lixaing Liu, Hailong Hu, Jingyi Chen, Xiandong Meng, Pengcheng Ding

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Abstract

In the past few years, the large scale satellite constellation project represented by Starlink, oneweb, etc. has promoted a new round of large scale low earth orbit (LEO) satellite constellation networks (LS-LEOSCN) development wave. In LS-LEOSCN, multiple gateway stations need to be deployed to meet user needs, and their location greatly affects system capacity and other performance. Most of the factors considered are delay, hop count or capacity, but most of them do not consider the interference between the feeding links under the giant constellation. In this paper, a capacity evaluation method considering the interference between feeder links is proposed, and based on this capacity evaluation mechanism, a gateway station deployment optimization method based on genetic algorithm is proposed to maximize the system capacity in the case of considering the interference between feeder links. Compared with the randomly generated scheme, the capacity is increased by 6.9% in average.

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大规模LEO卫星星座网网关站部署研究

近年来，以Starlink、oneweb等为代表的大型卫星星座工程，推动了新一轮大规模低地球轨道卫星星座网络(LS-LEOSCN)的发展浪潮。在LS-LEOSCN中，需要部署多个网关站以满足用户需求，网关站的位置对系统容量和其他性能影响很大。考虑的因素大多是时延、跳数或容量，但大多没有考虑巨星座下馈电链路之间的干扰。本文提出了一种考虑馈线间干扰的容量评估方法，并在此容量评估机制的基础上，提出了一种基于遗传算法的网关站部署优化方法，以在考虑馈线间干扰的情况下使系统容量最大化。与随机生成方案相比，容量平均提高6.9%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2022 IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)

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