Modeling and Analysis of Hybrid GEO-LEO Satellite Networks
Dong-Hyun Jung, Hongjae Nam, Junil Choi, and David J. Love

TL;DR
This paper models and analyzes a hybrid GEO-LEO satellite network sharing frequency resources, deriving coverage probability expressions and validating them through simulations to understand system performance.
Contribution
It introduces a stochastic geometry framework for hybrid GEO-LEO networks, providing analytical tools for coverage analysis with satellite cooperation.
Findings
Analytical expressions for satellite visibility and coverage probability
Impact of system parameters on coverage performance
Validation of models through Monte Carlo simulations
Abstract
As the number of low Earth orbit (LEO) satellites rapidly increases, the consideration of frequency sharing or cooperation between geosynchronous Earth orbit (GEO) and LEO satellites is gaining attention. In this paper, we consider a hybrid GEO-LEO satellite network where GEO and LEO satellites are distributed according to independent Poisson point processes (PPPs) and share the same frequency resources. Based on the properties of PPPs, we first analyze satellite-visible probabilities, distance distributions, and association probabilities. Then, we derive an analytical expression for the network's coverage probability. Through Monte Carlo simulations, we verify the analytical results and demonstrate the impact of system parameters on coverage performance. The analytical results effectively estimate the coverage performance in scenarios where GEO and LEO satellites cooperate or share the…
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Taxonomy
TopicsSatellite Communication Systems · Spacecraft Design and Technology · Distributed and Parallel Computing Systems
