Channel Estimator Endorsed Rate AdaptationAlgorithm for IEEE 802.11 Standards

Channel Estimator Endorsed Rate AdaptationAlgorithm for IEEE 802.11 Standards | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Channel Estimator Endorsed Rate AdaptationAlgorithm for IEEE 802.11 Standards SMERA C, SANDEEP J This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4963535/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Rate adaptation is an essential mechanism in the WLAN network to enhance network performance. The latest amendments of IEEE 802.11 standards introduced a large number of rate levels. Traditional rate adaptation algorithms are inadequate to manage large rate search space and the interference created by an increasing number of devices. In this paper, a new rate adjustment approach, ChannelEstimator Endorsed Rate Adaptation (CEERA) is designed, implemented, andanalysed using a network simulation tool. This algorithm used the Block acknowledgment and RSSI effectively to identify the channel conditions. A weighted value obtained by processing these two parameters was used for rate selection. The research was simulated using NS3 for different network scenarios. Results were evident for the improved performance of the CEERA algorithm when compared with the RaCa. The result also shows that it consumes lower energy than the RaCA with improved packet delivery ratio and throughput. IEEE 802.11 rate adaptation Block Acknowledgment Wi-Fi RSSI Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-4963535","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":344996176,"identity":"78708bc7-cfbe-4a6a-bc94-f203502e2b3a","order_by":0,"name":"SMERA C","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAABE0lEQVRIiWNgGAWjYBADOQYJBoYDIBYbmG8AxMz4tRhDtCTAtRgQ1JLYIAGiEuACBjiVyk87fOzDDwa79P7ZvQ8P/vxxOI9PIvnYxx8FfxIb2HkPYNNicDsteWYPQ3LujDvHDQ7zJBwuZpNIS57NY2CQ2MDMl4BVi3SOMQMPw4HcDRJpDIcZEg4ntvGcMWZmAGvhweo6+dn5nxn/MBxINwBqOfgDrOX8Z8YfeLQw3M5hZgbakgDScoAHpIW9h5mBB48WoF+MmWUMkg1n3AA6jCctHailzRio2Ni4DafDkh8zvqmwk+efkcb88YeNdeL8ZubHjD/+yMn285/BHdJYI8GxDbd6HMCeZB2jYBSMglEwXAEAue1XbVSKEMgAAAAASUVORK5CYII=","orcid":"","institution":"CHRIST (Deemed to be University)","correspondingAuthor":true,"prefix":"","firstName":"SMERA","middleName":"","lastName":"C","suffix":""},{"id":344996177,"identity":"a6c55ccb-79d9-4d4a-a1d0-f03314da516f","order_by":1,"name":"SANDEEP J","email":"","orcid":"","institution":"CHRIST (Deemed to be University)","correspondingAuthor":false,"prefix":"","firstName":"SANDEEP","middleName":"","lastName":"J","suffix":""}],"badges":[],"createdAt":"2024-08-23 10:25:44","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4963535/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4963535/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":65208106,"identity":"c75b2ca3-eb4b-4991-b0f0-b6b707a64d86","added_by":"auto","created_at":"2024-09-24 19:08:31","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":619590,"visible":true,"origin":"","legend":"","description":"","filename":"ceera.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4963535/v1_covered_feea1b71-7d54-44f6-af4e-12f77811eea4.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Channel Estimator Endorsed Rate AdaptationAlgorithm for IEEE 802.11 Standards","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"IEEE 802.11, rate adaptation, Block Acknowledgment, Wi-Fi, RSSI","lastPublishedDoi":"10.21203/rs.3.rs-4963535/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4963535/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"Rate adaptation is an essential mechanism in the WLAN network to enhance network performance. The latest amendments of IEEE 802.11 standards introduced a large number of rate levels. Traditional rate adaptation algorithms are inadequate to manage large rate search space and the interference created by an increasing number of devices. In this paper, a new rate adjustment approach, ChannelEstimator Endorsed Rate Adaptation (CEERA) is designed, implemented, andanalysed using a network simulation tool. This algorithm used the Block acknowledgment and RSSI effectively to identify the channel conditions. A weighted value obtained by processing these two parameters was used for rate selection. The research was simulated using NS3 for different network scenarios. Results were evident for the improved performance of the CEERA algorithm when compared with the RaCa. The result also shows that it consumes lower energy than the RaCA with improved packet delivery ratio and throughput.","manuscriptTitle":"Channel Estimator Endorsed Rate AdaptationAlgorithm for IEEE 802.11 Standards","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-09-24 19:00:25","doi":"10.21203/rs.3.rs-4963535/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"e720ac60-2a0f-4185-aee3-407b6cce27a1","owner":[],"postedDate":"September 24th, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2026-01-09T04:52:51+00:00","versionOfRecord":[],"versionCreatedAt":"2024-09-24 19:00:25","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-4963535","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-4963535","identity":"rs-4963535","version":["v1"]},"buildId":"qtupq5eGEP_6zYnWcrvyt","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}