A Tractable Approach to Coverage Analysis in Downlink Satellite Networks
Jeonghun Park, Jinseok Choi, and Namyoon Lee

TL;DR
This paper introduces a stochastic geometry-based model for analyzing coverage in downlink satellite networks, providing analytical expressions for coverage probability and optimal satellite density, which simplifies system evaluation and design.
Contribution
It develops a tractable stochastic geometry model for satellite networks, deriving explicit coverage probability expressions and optimal satellite density, advancing analytical understanding.
Findings
Coverage probability expressed analytically as a function of network parameters
Optimal satellite density decreases logarithmically with satellite height
Simulation results confirm the accuracy of the analytical expressions
Abstract
Satellite networks are promising to provide ubiquitous and high-capacity global wireless connectivity. Traditionally, satellite networks are modeled by placing satellites on a grid of multiple circular orbit geometries. Such a network model, however, requires intricate system-level simulations to evaluate coverage performance, and analytical understanding of the satellite network is limited. Continuing the success of stochastic geometry in a tractable analysis for terrestrial networks, in this paper, we develop novel models that are tractable for the coverage analysis of satellite networks using stochastic geometry. By modeling the locations of satellites and users using Poisson point processes on the surfaces of concentric spheres, we characterize analytical expressions for the coverage probability of a typical downlink user as a function of relevant parameters, including path-loss…
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Taxonomy
TopicsSatellite Communication Systems · Interconnection Networks and Systems · Opportunistic and Delay-Tolerant Networks
