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dc.contributor.advisorRistaniemi Tapani
dc.contributor.authorKhandker, Syed Ibrahim
dc.date.accessioned2016-09-06T03:49:36Z
dc.date.available2016-09-06T03:49:36Z
dc.date.issued2016
dc.identifier.otheroai:jykdok.linneanet.fi:1573584
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/51204
dc.description.abstractLocation based applications and services have become popular in many wireless communication devices. This thesis study presents a performance evaluation of Radio Frequency (RF) fingerprinting framework in heterogeneous Long Term Evolution (LTE) and Wireless Local Area Networks (WLAN) using Minimization of Drive Testing (MDT) measurements which allow automated construction of extensive RF fingerprint training databases. Utilization of MDT data could create additional opportunities for service provider and application developers. Typical RF fingerprint consist of radio measurements from multiple LTE transceiver stations and WLAN access points. Regardless environmental conditions, received signal strength indicator pattern for difference reference points, set a fingerprint of radio conditions for the specific location. Based on RF fingerprinting framework for positioning by using MDT measurements specified in LTE release 10, performance of locating user equipment was studied by signal strength mean value algorithm using grid based method at outdoor environment. To find out the optimal grid size, three different grid size were used. Source of positioning error and effects have been extensively investigated. Cumulative distribution function has been used to express the result. This study suggests that, MDT based RF fingerprint locationing system can provide a good basis for the network based proximity detection.en
dc.format.extent1 verkkoaineisto (52 sivua)
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.rightsJulkaisu on tekijänoikeussäännösten alainen. Teosta voi lukea ja tulostaa henkilökohtaista käyttöä varten. Käyttö kaupallisiin tarkoituksiin on kielletty.fi
dc.rightsThis publication is copyrighted. You may download, display and print it for Your own personal use. Commercial use is prohibited.en
dc.subject.otherLTE
dc.subject.otherWLAN
dc.subject.otherRadio Frequency
dc.subject.otherFingerprint
dc.subject.otherPositioning
dc.titleRF fingerprinting for user locationing in LTE/WLAN networks
dc.identifier.urnURN:NBN:fi:jyu-201609063970
dc.type.ontasotPro gradu -tutkielmafi
dc.type.ontasotMaster’s thesisen
dc.contributor.tiedekuntaInformaatioteknologian tiedekuntafi
dc.contributor.tiedekuntaFaculty of Information Technologyen
dc.contributor.laitosTietotekniikan laitosfi
dc.contributor.laitosDepartment of Mathematical Information Technologyen
dc.contributor.yliopistoUniversity of Jyväskyläen
dc.contributor.yliopistoJyväskylän yliopistofi
dc.contributor.oppiaineTietotekniikkafi
dc.contributor.oppiaineMathematical Information Technologyen
dc.date.updated2016-09-06T03:49:37Z
dc.rights.accesslevelopenAccessfi
dc.type.publicationmasterThesis
dc.contributor.oppiainekoodi602
dc.subject.ysotaajuusalueet
dc.subject.ysopaikannus
dc.subject.ysolangattomat lähiverkot
dc.format.contentfulltext
dc.type.okmG2


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