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Performance analysis of ONOE protocol—an IEEE 802.11 link adaptation algorithm
Author(s) -
He Jianhua,
Tang Zuoyin,
Chen HsiaoHwa,
Wang Shu
Publication year - 2012
Publication title -
international journal of communication systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.344
H-Index - 49
eISSN - 1099-1131
pISSN - 1074-5351
DOI - 10.1002/dac.1290
Subject(s) - computer science , ieee 802.15 , algorithm , ieee 802.11 , markov chain , frame (networking) , adaptation (eye) , channel (broadcasting) , protocol (science) , network allocation vector , wireless network , computer network , wireless , wireless sensor network , telecommunications , machine learning , medicine , physics , alternative medicine , pathology , optics
SUMMARY 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. Copyright © 2011 John Wiley & Sons, Ltd.