Evaluating the Accuracy of Stochastic Geometry Based Models for LEO Satellite Networks Analysis

2022/07/25 by Wang, Ruibo, Kishk, Mustafa A., Alouini, Mohamed-Slim · 3 citations
#FOS: Computer and information sciences #Networking and Internet Architecture (cs.NI)

paper · doi:10.48550/arxiv.2207.12029

Abstract

This paper investigates the accuracy of recently proposed stochastic geometry-based modeling of low earth orbit (LEO) satellite networks. In particular, we use the Wasserstein Distance-inspired method to analyze the distances between different models, including Fibonacci lattice and orbit models. We propose an algorithm to calculate the distance between the generated point sets. Next, we test the algorithm's performance and analyze the distance between the stochastic geometry model and other more widely acceptable models using numerical results.

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• Performance Analysis of End-to-End LEO Satellite-Aided Shore-to-Ship Communications: A Stochastic Geometry Approach
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• Non-Terrestrial Network Models Using Stochastic Geometry: Planar or Spherical?

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