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dc.contributor.authorMondal, Riaz
dc.contributor.authorTurkka, Jussi
dc.contributor.authorRistaniemi, Tapani
dc.contributor.editorLeung, Ka-Cheong
dc.date.accessioned2017-12-13T08:05:20Z
dc.date.available2017-12-13T08:05:20Z
dc.date.issued2015
dc.identifier.citationMondal, R., Turkka, J., & Ristaniemi, T. (2015). An efficient cluster-based outdoor user positioning using LTE and WLAN signal strengths. In K.-C. Leung (Ed.), <i>Proceedings of IEEE PIMRC 2015 : IEEE 26th International Symposium on Personal, Indoor and Mobile Radio Communications</i> (pp. 2182-2186). Institute of Electrical and Electronic Engineers. IEEE International Symposium on Personal, Indoor, and Mobile Radio Communications workshops. <a href="https://doi.org/10.1109/PIMRC.2015.7343659" target="_blank">https://doi.org/10.1109/PIMRC.2015.7343659</a>
dc.identifier.otherCONVID_25561049
dc.identifier.otherTUTKAID_69253
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/56290
dc.description.abstractIn this paper we propose a novel cluster-based RF fingerprinting method for outdoor user-equipment (UE) positioning using both LTE and WLAN signals. It uses a simple cost effective agglomerative hierarchical clustering with Davies-Bouldin criterion to select the optimal cluster number. The positioning method does not require training signature formation prior to UE position estimation phase. It is capable of reducing the search space for clustering operation by using LTE cell-ID searching criteria. This enables the method to estimate UE positioning in short time with less computational expense. To validate the cluster-based positioning real-time field measurements were collected using readily available cellular mobile handset equipped with Nemo Handy software. Output results of the proposed method were compared with a single grid-cell layout based RF fingerprinting method. Simulation results show that if a single LTE and six WLAN signal strengths are used then the proposed method can improve positioning accuracy of 35% over the grid-based RF fingerprinting.
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronic Engineers
dc.relation.ispartofProceedings of IEEE PIMRC 2015 : IEEE 26th International Symposium on Personal, Indoor and Mobile Radio Communications
dc.relation.ispartofseriesIEEE International Symposium on Personal, Indoor, and Mobile Radio Communications workshops
dc.subject.othergrid-based RF fingerprinting
dc.subject.otherhierarchical clustering
dc.subject.otherLTE cell-ID
dc.subject.otherminimization of drive tests
dc.titleAn efficient cluster-based outdoor user positioning using LTE and WLAN signal strengths
dc.typeconferenceObject
dc.identifier.urnURN:NBN:fi:jyu-201712114591
dc.contributor.laitosTietotekniikan laitosfi
dc.contributor.laitosDepartment of Mathematical Information Technologyen
dc.contributor.oppiaineTietotekniikkafi
dc.contributor.oppiaineMathematical Information Technologyen
dc.type.urihttp://purl.org/eprint/type/ConferencePaper
dc.date.updated2017-12-11T07:15:05Z
dc.relation.isbn978-1-4673-6782-0
dc.type.coarhttp://purl.org/coar/resource_type/c_5794
dc.description.reviewstatuspeerReviewed
dc.format.pagerange2182-2186
dc.relation.issn2166-9570
dc.type.versionacceptedVersion
dc.rights.copyright© 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
dc.rights.accesslevelopenAccessfi
dc.relation.conferenceIEEE International Symposium on Personal, Indoor and Mobile Radio Communications
dc.relation.doi10.1109/PIMRC.2015.7343659
dc.type.okmA4


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