Time-dependent SIR modeling for D2D communications in indoor deployments

Yurii Orlov, Dmitry Zenyuk, Andrey Samuylov, Dmitri Moltchanov, Sergey Andreev, Oxana Romashkova, Yuliya Gaidamaka, Konstantin Samouylov

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

    20 Citations (Scopus)

    Abstract

    Device-to-device (D2D) communications is expected to become an integral part of the future 5G cellular systems. The connectivity performance of D2D sessions is heavily affected by the dynamic changes in the signal-to-interference ratio (SIR) caused by random movement of communicating pairs over a certain bounded area of interest. In this paper, taking into account the recent findings on the movement of users over a landscape, we characterize the probability density function (pdf) of SIR under stochastic motion of communicating D2D pairs on planar fractals. We demonstarte that the pdf of SIR depends on the fractal dimension and the spatial density of trajectories. The proposed model can be further used to investigate timedependent user-centric performance metrics including the link data rate and the outage time.

    Original languageEnglish
    Title of host publicationProceedings - 31st European Conference on Modelling and Simulation, ECMS 2017
    Pages726-731
    Number of pages6
    ISBN (Electronic)9780993244049
    Publication statusPublished - 2017
    Publication typeA4 Article in conference proceedings
    EventEUROPEAN CONFERENCE ON MODELLING AND SIMULATION -
    Duration: 1 Jan 1900 → …

    Conference

    ConferenceEUROPEAN CONFERENCE ON MODELLING AND SIMULATION
    Period1/01/00 → …

    Keywords

    • Cellular network
    • D2D communications
    • Fractal motion
    • SIR probability density function
    • Time-dependence

    Publication forum classification

    • Publication forum level 1

    ASJC Scopus subject areas

    • Modelling and Simulation

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