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

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.