SG-Based Analysis of LEO Satellite-Relayed Communication Systems

TL;DR

This paper uses stochastic geometry to analyze LEO satellite communication systems, evaluating how satellite distribution, gateway density, and satellite parameters affect coverage and latency.

Contribution

It introduces a stochastic geometry framework for modeling LEO satellite networks and assesses key performance metrics like coverage probability and latency.

Findings

Higher gateway density improves coverage probability.

Satellite height influences latency and coverage.

Different satellite distribution models impact network performance.

Abstract

Due to their low latency, high capacity, and seamless worldwide coverage, low Earth orbit (LEO) satellites are essential to the equal access network. Stochastic geometry (SG) is an appropriate method for such a large and irregular system. The SG model can effectively assess and estimate the performance of the network as well as handle the growing network scale. In this article, a number of common satellite distribution models are examined. In the non-technical description, system-level metrics such as coverage probability are introduced. The impact of gateway density, as well as the quantity and height of satellites, on latency and likelihood of coverage, is then researched. This essay concludes by outlining potential uses for SG in the future.