Work

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

Year: 2022

Type: article

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.

Source: IEEE Communications Letters

DOI: 10.1109/lcomm.2022.3194210

Authors: Ruibo Wang, Mustafa A. Kishk, Mohamed-Slim Alouini

Institutions: King Abdullah University of Science and Technology, National University of Ireland, Maynooth

Language: English

Topic: Satellite Communication Systems

Subfield: Aerospace Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: green

Funder: King Abdullah University of Science and Technology

OpenAlex ID: W4288064701

FWCI: 4.59

Cites: 15

Cited by: 50

Related to: 10