Coverage and Rate Analysis of Follower-Based LEO Satellite Networks: A Stochastic Geometry Approach

TL;DR

This paper develops a stochastic geometry-based framework to evaluate the performance of leader-follower LEO satellite clusters, providing analytical tools to optimize deployment for improved coverage and throughput.

Contribution

It introduces a novel performance evaluation framework using stochastic geometry for leader-follower satellite architectures, including analytical expressions and approximations.

Findings

Leader-follower architecture outperforms single leader systems in coverage and throughput.

Derived analytical expressions for outage probability and data rate.

Numerical results identify optimal follower deployment configurations.

Abstract

To mitigate inter-satellite interference and payload limits in LEO mega-constellations, satellite clusters, groups of small cooperative satellites have been proposed to improve performance and reduce interference. The typical configuration divides the cluster into a leader satellite with full processing and control capabilities and multiple simpler follower satellites that assist with coverage and throughput. These clusters enhance coverage and throughput, prompting interest in their performance gains and optimal deployment. Given that the spherical stochastic geometry (SG) model has been proven effective for modeling such structures, we establish a performance evaluation framework based on the SG approach for the leader-follower satellite architecture, enabling an assessment of communication performance under different deployment configurations quantitatively. We derive analytical expressions for the outage probability and average data rate to evaluate the communication performance of the satellite system, along with low-complexity approximations. Numerical results demonstrate the performance advantages of the leader-follower architecture over a single leader satellite and explore optimal deployment configurations for the follower satellites.