Modeling and Analysis of Cellular Networks with Elastic Data Traffic

Arman Shojaeifard, K Hamdi, Emad Alsusa, D K C So, J Tang

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Abstract

    We devise a framework using tools from stochastic geometry and queuing theory for the study of irregular cellular networks when user traffic varies randomly in time and space. We consider a typical wireless cell with a guard zone surrounded by an interference environment comprised of a dominant node at the cell-edge plus an outer-bound Poisson field of sources. A systematic approach is presented to characterize the cell flow capacity in the presence of elastic data traffic with closed-form expressions of the intended signal power and aggregate interference statistics over Nakagami-m fading channels accordingly derived. We then formulate and solve an optimization problem for computing the traffic capacity defined as the maximum data flow intensity for which the cell remains unsaturated.
    Original languageEnglish
    Title of host publicationProc IEEE ICC
    DOIs
    Publication statusPublished - 23 May 2016
    EventIEEE ICC -
    Duration: 1 Jan 1824 → …

    Conference

    ConferenceIEEE ICC
    Period1/01/24 → …

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