In this work, we proposed a tractable mathematical framework to analyze the coverage probability in dynamic downlink cellular networks taking into account the queue dynamics with finite buffer restriction. In particular, the developed model is based on stochastic geometry and queueing theory to handle the interaction between the coverage probability and the queueing state evolution. We analyze the coverage probability as well as packet loss probability by discrete time Markov chain (DTMC) at stationary regime. We explicitly derive the influence of the packet buffer length to the coverage and packet loss probability. We show in particular that small buffer length leads to a better coverage probability but also to a larger packet loss probability, advocating for a tradeoff between these two metrics.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Queue Analysis with Finite Buffer by Stochastic Geometry in Downlink Cellular Networks


    Contributors:


    Publication date :

    2021-04-01


    Size :

    2141935 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




    Stochastic Geometry‐Based Performance Analysis of Drone Cellular Networks

    Banagar, Morteza / Chetlur, Vishnu V. / Dhillon, Harpreet S. | Wiley | 2020


    Stochastic Geometry Analysis for RIS-Assisted Large-Scale Cellular Networks

    Wang, Tianxiong / Chen, Gaojie / Badiu, Mihai-Alin et al. | IEEE | 2022


    The ϵ-stable region analysis in dynamic downlink cellular networks

    Liu, Qiong / Baudais, Jean-Yves / Mary, Philippe | IEEE | 2022