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

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
Early online date9 Jun 2011
DOIs
Publication statusPublished - Jul 2012

Keywords

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

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