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

Mustafa Abdelsalam Kishk, Mohamed-Slim Alouini

Research output: Contribution to journalArticlepeer-review

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.
Original languageEnglish (US)
Pages (from-to)1-1
Number of pages1
JournalIEEE Communications Letters
DOIs
StatePublished - Jul 27 2022

ASJC Scopus subject areas

  • Modeling and Simulation
  • Computer Science Applications
  • Electrical and Electronic Engineering

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