Rate adaptation is critical to the system performance of
\nwireless networks. Typically, rate adaptation is considered as a
\nMAC layer mechanism in IEEE 802.11. Most previous work relies
\nonly on frame losses to infer channel quality, but performs poorly
\nif frame losses are mainly caused by interference. Recently SNRbased
\nrate adaptation schemes have been proposed, but most of
\nthem have not been studied in a real environment. In this paper,
\nwe first conduct a systematic measurement-based study to
\nconfirm that in general SNR is a good prediction tool for channel
\nquality, and identify two key challenges for this to be used in
\npractice: (1) The SNR measures in hardware are often
\nuncalibrated, and thus the SNR thresholds are hardware
\ndependent. (2) The direct prediction from SNR to frame delivery
\nratio (FDR) is often over optimistic under interference conditions.
\nBased on these observations, we present a novel practical SNR Guided
\nRate Adaptation (SGRA) scheme. We implement and
\nevaluate SGRA in a real test-bed and compare it with other three
\nalgorithms: ARF, RRAA and HRC. Our results show that SGRA
\noutperforms the other three algorithms in all cases we have tested.<\/p>\n","protected":false},"excerpt":{"rendered":"
Rate adaptation is critical to the system performance of wireless networks. Typically, rate adaptation is considered as a MAC layer mechanism in IEEE 802.11. Most previous work relies only on frame losses to infer channel quality, but performs poorly if frame losses are mainly caused by interference. Recently SNRbased rate adaptation schemes have been proposed, […]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr-author-ordering":null,"msr_publishername":"IEEE","msr_publisher_other":"","msr_booktitle":"INFOCOM 08","msr_chapter":"","msr_edition":"INFOCOM 08","msr_editors":"","msr_how_published":"","msr_isbn":"","msr_issue":"","msr_journal":"","msr_number":"","msr_organization":"","msr_pages_string":"","msr_page_range_start":"","msr_page_range_end":"","msr_series":"","msr_volume":"","msr_copyright":"\u00a9 2008 IEEE. 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 to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.http:\/\/www.ieee.org\/","msr_conference_name":"INFOCOM 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