Evaluating a case of downlink uplink decoupling using queuing system with random requirements

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    10 Citations (Scopus)

    Abstract

    The need for efficient resource utilization at the air interfaces in heterogeneous wireless systems has recently led to the concept of downlink and uplink decoupling (DUDe). Several studies have already reported the gains of using DUDe in static traffic conditions. In this paper we investigate performance of DUDe with stochastic session arrivals patterns in LTE environment with macro and micro base stations. Particularly, we use a queuing systems with random resource requirements and to calculate the session blocking probability and throughput of the system. Our results demonstrate that DUDe association approach allows to significantly improve the metrics of interest compared to conventional downlink-based association mechanism.

    Original languageEnglish
    Title of host publicationInternet of Things, Smart Spaces, and Next Generation Networks and Systems - 16th International Conference, NEW2AN 2016 and 9th Conference, ruSMART 2016, Proceedings
    PublisherSpringer International Publishing
    Pages440-450
    Number of pages11
    ISBN (Print)9783319463001
    DOIs
    Publication statusPublished - 20 Sept 2016
    Publication typeA4 Article in conference proceedings
    EventInternational Conference on Next Generation Wired/Wireless Advanced Networks and Systems -
    Duration: 1 Jan 1900 → …

    Publication series

    NameLecture Notes in Computer Science
    Volume9870
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Conference

    ConferenceInternational Conference on Next Generation Wired/Wireless Advanced Networks and Systems
    Period1/01/00 → …

    Keywords

    • DL and UL decoupling
    • Heterogeneous networks
    • LTE-advanced
    • Pathloss
    • RBs allocation
    • Signal-to-noise ratio

    Publication forum classification

    • Publication forum level 1

    ASJC Scopus subject areas

    • Theoretical Computer Science
    • General Computer Science

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