dc.contributor.author | Mondal, Riaz | |
dc.contributor.author | Turkka, Jussi | |
dc.contributor.author | Ristaniemi, Tapani | |
dc.contributor.editor | Leung, Ka-Cheong | |
dc.date.accessioned | 2017-12-13T08:05:20Z | |
dc.date.available | 2017-12-13T08:05:20Z | |
dc.date.issued | 2015 | |
dc.identifier.citation | Mondal, 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.other | CONVID_25561049 | |
dc.identifier.other | TUTKAID_69253 | |
dc.identifier.uri | https://jyx.jyu.fi/handle/123456789/56290 | |
dc.description.abstract | In 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.iso | eng | |
dc.publisher | Institute of Electrical and Electronic Engineers | |
dc.relation.ispartof | Proceedings of IEEE PIMRC 2015 : IEEE 26th International Symposium on Personal, Indoor and Mobile Radio Communications | |
dc.relation.ispartofseries | IEEE International Symposium on Personal, Indoor, and Mobile Radio Communications workshops | |
dc.subject.other | grid-based RF fingerprinting | |
dc.subject.other | hierarchical clustering | |
dc.subject.other | LTE cell-ID | |
dc.subject.other | minimization of drive tests | |
dc.title | An efficient cluster-based outdoor user positioning using LTE and WLAN signal strengths | |
dc.type | conferenceObject | |
dc.identifier.urn | URN:NBN:fi:jyu-201712114591 | |
dc.contributor.laitos | Tietotekniikan laitos | fi |
dc.contributor.laitos | Department of Mathematical Information Technology | en |
dc.contributor.oppiaine | Tietotekniikka | fi |
dc.contributor.oppiaine | Mathematical Information Technology | en |
dc.type.uri | http://purl.org/eprint/type/ConferencePaper | |
dc.date.updated | 2017-12-11T07:15:05Z | |
dc.relation.isbn | 978-1-4673-6782-0 | |
dc.type.coar | http://purl.org/coar/resource_type/c_5794 | |
dc.description.reviewstatus | peerReviewed | |
dc.format.pagerange | 2182-2186 | |
dc.relation.issn | 2166-9570 | |
dc.type.version | acceptedVersion | |
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.accesslevel | openAccess | fi |
dc.relation.conference | IEEE International Symposium on Personal, Indoor and Mobile Radio Communications | |
dc.relation.doi | 10.1109/PIMRC.2015.7343659 | |
dc.type.okm | A4 | |