Performance analysis of ONOE protocol-an IEEE 802.11 link adaptation algorithm

Jianhua He, Zuoyin Tang, Hsiao Hwa Chen, Shu Wang

    Research output: Contribution to journalArticle

    5 Citations (Scopus)

    Abstract

    Link adaptation (LA) plays an important role in adapting an IEEE 802.11 network to wireless link conditions and maximizing its capacity. However, there is a lack of theoretic analysis of IEEE 802.11 LA algorithms. In this article, we propose a Markov chain model for an 802.11 LA algorithm (ONOE algorithm), aiming to identify the problems and finding the space of improvement for LA algorithms. We systematically model the impacts of frame corruption and collision on IEEE 802.11 network performance. The proposed analytic model was verified by computer simulations. With the analytic model, it can be observed that ONOE algorithm performance is highly dependent on the initial bit rate and parameter configurations. The algorithm may perform badly even under light channel congestion, and thus, ONOE algorithm parameters should be configured carefully to ensure a satisfactory system performance.

    Original languageEnglish
    Pages (from-to)821-831
    Number of pages11
    JournalInternational journal of communication systems
    Volume25
    Issue number7
    DOIs
    Publication statusPublished - Jul 2012

    Keywords

    • IEEE 802.11
    • link adaptation
    • Markov chain
    • wireless local area network

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