Characterizing Temporal SNR Variation in 802.11 Networks

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dc.contributor.authorSarkar, Saswati
dc.contributor.authorSarkar, Saswati
dc.date2023-05-17T02:25:55.000
dc.date.accessioned2023-05-22T19:08:44Z
dc.date.available2023-05-22T19:08:44Z
dc.date.issued2008-07-01
dc.date.submitted2008-08-18T11:44:45-07:00
dc.description.abstractThe analysis and design of wireless medium access control (MAC) protocols, coding schemes, and transmission algorithms can significantly benefit from an understanding of the channel quality variation.We attempt to represent channel quality variation using a finite-state birth–death Markov model. We outline a method to compute the parameters of the model based on measured traces obtained using common wireless chipsets. Using this Markov chain, we statistically evaluate the performance based on the channel quality, long-term correlations, and burst length distributions. Such a model significantly performs better than a traditional two-state Markov chain in characterizing 802.11 networks while maintaining the simplicity of a birth–death model. We interpret the variation of the model parameters across different locations and different times. A finite-state stationary model is amenable to analysis and can substantially benefit the design of efficient algorithms and make simulations for wireless network protocols faster.
dc.description.commentsCopyright 2008 IEEE. Reprinted from <em>IEEE Transactions on Vehicular Technology</em>, Volume 57, Issue 4, July 2008, pages 2002-2013. <br><br> 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 Pennsylvania'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 pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.
dc.identifier.urihttps://repository.upenn.edu/handle/20.500.14332/33632
dc.legacy.articleid1464
dc.legacy.fulltexturlhttps://repository.upenn.edu/cgi/viewcontent.cgi?article=1464&amp;context=ese_papers&amp;unstamped=1
dc.source.issue424
dc.source.journalDepartmental Papers (ESE)
dc.source.peerreviewedtrue
dc.source.statuspublished
dc.subject.otheranalytical models
dc.subject.otherchannel modeling
dc.subject.otherwireless LAN
dc.titleCharacterizing Temporal SNR Variation in 802.11 Networks
dc.typeArticle
digcom.contributor.authorGuha, Ratul K
digcom.contributor.authorisAuthorOfPublication|email:swati@seas.upenn.edu|institution:University of Pennsylvania|Sarkar, Saswati
digcom.identifierese_papers/424
digcom.identifier.contextkey584080
digcom.identifier.submissionpathese_papers/424
digcom.typearticle
dspace.entity.typePublication
relation.isAuthorOfPublicationdfa31675-e4a1-4db2-b698-4f7113283983
relation.isAuthorOfPublication.latestForDiscoverydfa31675-e4a1-4db2-b698-4f7113283983
upenn.schoolDepartmentCenterDepartmental Papers (ESE)
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