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

    Wang, Ruibo and Kishk, Mustafa A. and Alouini, Mohamed-Slim (2022) Evaluating the Accuracy of Stochastic Geometry Based Models for LEO Satellite Networks Analysis. IEEE Communications Letters, 26 (10). pp. 2440-2444. ISSN 1089-7798

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    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.

    Item Type: Article
    Keywords: Stochastic geometry; homogeneous BPP; distribution; LEO satellite;
    Academic Unit: Faculty of Science and Engineering > Electronic Engineering
    Item ID: 17567
    Identification Number:
    Depositing User: Mustafa Kishk
    Date Deposited: 18 Sep 2023 14:42
    Journal or Publication Title: IEEE Communications Letters
    Publisher: Institute of Electrical and Electronics Engineers
    Refereed: Yes
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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