RF fingerprinting for user locationing in LTE/WLAN networks

Location 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 Minimizat...

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Päätekijä: Khandker, Syed Ibrahim
Muut tekijät: Informaatioteknologian tiedekunta, Faculty of Information Technology, Tietotekniikan laitos, Department of Mathematical Information Technology, University of Jyväskylä, Jyväskylän yliopisto
Aineistotyyppi: Pro gradu
Kieli:eng
Julkaistu: 2016
Aiheet:
Linkit: https://jyx.jyu.fi/handle/123456789/51204
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author Khandker, Syed Ibrahim
author2 Informaatioteknologian tiedekunta Faculty of Information Technology Tietotekniikan laitos Department of Mathematical Information Technology University of Jyväskylä Jyväskylän yliopisto
author_facet Khandker, Syed Ibrahim Informaatioteknologian tiedekunta Faculty of Information Technology Tietotekniikan laitos Department of Mathematical Information Technology University of Jyväskylä Jyväskylän yliopisto Khandker, Syed Ibrahim Informaatioteknologian tiedekunta Faculty of Information Technology Tietotekniikan laitos Department of Mathematical Information Technology University of Jyväskylä Jyväskylän yliopisto
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description Location 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.
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spellingShingle Khandker, Syed Ibrahim RF fingerprinting for user locationing in LTE/WLAN networks LTE WLAN Radio Frequency Fingerprint Positioning Tietotekniikka Mathematical Information Technology 602 taajuusalueet paikannus langattomat lähiverkot
title RF fingerprinting for user locationing in LTE/WLAN networks
title_full RF fingerprinting for user locationing in LTE/WLAN networks
title_fullStr RF fingerprinting for user locationing in LTE/WLAN networks RF fingerprinting for user locationing in LTE/WLAN networks
title_full_unstemmed RF fingerprinting for user locationing in LTE/WLAN networks RF fingerprinting for user locationing in LTE/WLAN networks
title_short RF fingerprinting for user locationing in LTE/WLAN networks
title_sort rf fingerprinting for user locationing in lte wlan networks
title_txtP RF fingerprinting for user locationing in LTE/WLAN networks
topic LTE WLAN Radio Frequency Fingerprint Positioning Tietotekniikka Mathematical Information Technology 602 taajuusalueet paikannus langattomat lähiverkot
topic_facet 602 Fingerprint LTE Mathematical Information Technology Positioning Radio Frequency Tietotekniikka WLAN langattomat lähiverkot paikannus taajuusalueet
url https://jyx.jyu.fi/handle/123456789/51204 http://www.urn.fi/URN:NBN:fi:jyu-201609063970
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