Evaluating the Accuracy of Stochastic Geometry Based Models for LEO Satellite Networks Analysis
Ruibo Wang, Mustafa A. Kishk, Mohamed‐Slim Alouini
Abstract
This letter 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.
Topics & Concepts
Stochastic geometryComputer scienceSatelliteFibonacci numberAlgorithmStochastic modellingOrbit (dynamics)Low earth orbitPoint (geometry)GeometryTopology (electrical circuits)MathematicsDiscrete mathematicsStatisticsAerospace engineeringCombinatoricsEngineeringSatellite Communication SystemsSpace Satellite Systems and ControlPoint processes and geometric inequalities