Publication:
Wireless channel modeling based on extreme value theory for ultra-reliable communications

dc.contributor.departmentDepartment of Electrical and Electronics Engineering
dc.contributor.departmentGraduate School of Sciences and Engineering
dc.contributor.kuauthorErgen, Sinem Çöleri
dc.contributor.kuauthorMehrnia, Niloofar
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.contributor.schoolcollegeinstituteGRADUATE SCHOOL OF SCIENCES AND ENGINEERING
dc.date.accessioned2024-11-09T11:58:21Z
dc.date.issued2022
dc.description.abstractA key building block in the design of ultra-reliable communication systems is a wireless channel model that captures the statistics of rare events occurring due to the significant fading. In this paper, we propose a novel methodology based on extreme value theory (EVT) to statistically model the behavior of extreme events in a wireless channel for ultra-reliable communication. This methodology includes techniques for fitting the lower tail distribution of the received power to the generalized Pareto distribution (GPD), determining the optimum threshold over which the tail statistics are derived, ascertaining the optimum stopping condition on the number of samples required to estimate the tail statistics by using GPD, and finally, assessing the validity of the derived Pareto model. Based on the data collected within the engine compartment of Fiat Linea under various engine vibrations and driving scenarios, we demonstrate that the proposed methodology provides the best fit to the collected data, significantly outperforming the conventional extrapolation-based methods. Moreover, the usage of the EVT in the proposed method decreases the required number of samples for estimating the tail statistics significantly.
dc.description.fulltextYES
dc.description.indexedbyWOS
dc.description.indexedbyScopus
dc.description.issue2
dc.description.openaccessYES
dc.description.publisherscopeInternational
dc.description.sponsoredbyTubitakEuN/A
dc.description.sponsorshipFord Otoson
dc.description.versionAuthor's final manuscript
dc.description.volume21
dc.identifier.doi10.1109/TWC.2021.3101422
dc.identifier.eissn1558-2248
dc.identifier.embargoNO
dc.identifier.filenameinventorynoIR03608
dc.identifier.issn1536-1276
dc.identifier.quartileQ1
dc.identifier.scopus2-s2.0-85124899820
dc.identifier.urihttps://doi.org/10.1109/TWC.2021.3101422
dc.identifier.wos754251000028
dc.keywordsWireless communication
dc.keywordsData models
dc.keywordsUltra reliable low latency communication
dc.keywordsChannel estimation
dc.keywordsAnalytical models
dc.keywordsThroughput
dc.keywordsAdaptation models
dc.keywordsExtreme value theory
dc.keywordsultra-reliable communication
dc.keywordswireless channel modeling
dc.keywords5G
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.grantnoNA
dc.relation.ispartofIEEE Transactions on Wireless Communications
dc.relation.urihttp://cdm21054.contentdm.oclc.org/cdm/ref/collection/IR/id/10463
dc.subjectEngineering, electrical and electronic
dc.subjectTelecommunications
dc.titleWireless channel modeling based on extreme value theory for ultra-reliable communications
dc.typeJournal Article
dspace.entity.typePublication
local.contributor.kuauthorErgen, Sinem Çöleri
local.contributor.kuauthorMehrnia, Niloofar
local.publication.orgunit1College of Engineering
local.publication.orgunit1GRADUATE SCHOOL OF SCIENCES AND ENGINEERING
local.publication.orgunit2Department of Electrical and Electronics Engineering
local.publication.orgunit2Graduate School of Sciences and Engineering
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