Coverage and Rate Analysis of Follower-Based LEO Satellite Networks: A Stochastic Geometry Approach
This work addresses performance optimization for LEO satellite networks, which is incremental as it builds on existing stochastic geometry models for satellite clusters.
The paper tackles the problem of inter-satellite interference and payload limits in LEO mega-constellations by proposing satellite clusters with leader-follower architectures, deriving analytical expressions for outage probability and average data rate using stochastic geometry, and showing performance advantages over single satellites with optimal deployment configurations.
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.