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    Modeling, Analysis and Impact of a Long Transitory Phase in Random Access Protocols

    Cano, Christina and Malone, David (2014) Modeling, Analysis and Impact of a Long Transitory Phase in Random Access Protocols. Working Paper. ArXiv.

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    In random access protocols, the service rate depends on the number of stations with a packet buffered for transmission. We demonstrate via numerical analysis that this state-dependent rate along with the consideration of Poisson traffic and infinite (or large enough to be considered infinite) buffer size may cause a high-throughput and extremely long (in the order of hours) transitory phase when traffic arrivals are right above the stability limit. We also perform an experimental evaluation to provide further insight into the characterisation of this transitory phase of the network by analysing statistical properties of its duration. The identification of the presence as well as the characterisation of this behaviour is crucial to avoid misprediction, which has a significant potential impact on network performance and optimisation. Furthermore, we discuss practical implications of this finding and propose a distributed and low-complexity mechanism to keep the network operating in the high-throughput phase.

    Item Type: Monograph (Working Paper)
    Keywords: Stability; random access protocols; mean field analysis; decoupling approximation; DCF; Aloha; Homeplug;
    Academic Unit: Faculty of Science and Engineering > Research Institutes > Hamilton Institute
    Faculty of Science and Engineering > Mathematics and Statistics
    Item ID: 6236
    Identification Number: arXiv:1405.5753
    Depositing User: Dr. David Malone
    Date Deposited: 07 Jul 2015 15:43
    Publisher: ArXiv
      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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