Using multiple metrics for rate adaptation algorithms in IEEE 802.11 WLANs

Li Li, Zhong Fan, D Kaleshi

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

3 Citations (Scopus)
352 Downloads (Pure)


IEEE 802.11 Wireless LANs (WLANs) use rate adaptation algorithms (RAAs) to dynamically switch data rates to accommodate the fluctuating wireless channel conditions. Classic RAAs such as ARF and ONOE suffer from rate poisoning and nability to distinguish between collision and packet losses caused by channel errors. Existing approaches in the literature are able to solve only one of the above two issues. In this paper we propose a novel rate adaptation protocol to address both issues for multi-rate wireless networks. The novelty of our approach is to combine the metrics of expected packet transmission time (ETT) and the average number of frozen slots (ANFS) to estimate the quality and level of contention for the current channel. A mathematical model to calculate ETT and ANFS on the fly is presented. Our protocol is simple and practical, which takes into consideration not only link quality and frame loss characteristics, but also impact of collisions during the design. Simulation results show that without the perfect knowledge of current channel condition and any signal strength information, our algorithm can achieve significant performance improvement in terms of end-toend throughput for different network conditions compared with state-of-the-art link adaptation algorithms.
Original languageEnglish
Title of host publicationIEEE Wireless Communications and Networking Conference
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
ISBN (Print)9781467304368
Publication statusPublished - Apr 2012

Bibliographical note

This research is supported by Toshiba TRL.

Copyright © 2012 IEEE. Reprinted with permission, from [L Li, Zhong Fan, D Kaleshi; 'Using multiple metrics for rate adaptation algorithms in IEEE 802.11 WLANs'; IEEE Wireless Communications and Networking Conference (WCNC 2012). This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Bristol's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to By choosing to view this document, you agree to all provisions of the copyright laws protecting it.

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