Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/16371
Full metadata record
DC FieldValueLanguage
dc.contributor.authorMagro, Manuel J.-
dc.contributor.authorDebono, Carl James-
dc.date.accessioned2017-02-07T10:31:36Z-
dc.date.available2017-02-07T10:31:36Z-
dc.date.issued2007-
dc.identifier.citationMagro, M. J., & Debono, C. J. (2007). A genetic algorithm approach to user location estimation in UMTS networks. EUROCON 2007 - The International Conference on "Computer as a Tool", Warsaw. 1136-1139.en_GB
dc.identifier.urihttps://www.um.edu.mt/library/oar//handle/123456789/16371-
dc.description.abstractAn innovative solution to user location estimation in 3G networks is presented. The proposed solution uses network information such as Cell-ID and transmitted signal strength, which are easily captured by current 3G mobile handsets, as input to a location detection algorithm which searches the whole network coverage area for the most probable point of origin. This search is performed within a software model of the radio network, which faithfully replicates the provider's live network. The algorithm was optimized through the application of a genetic algorithm to provide an estimate of the user's location in quasi real-time. Simulation results demonstrate that allowing for a 450 m error, the algorithm is capable of locating the user's position in 72% of the cases within an urban environment.en_GB
dc.language.isoenen_GB
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_GB
dc.rightsinfo:eu-repo/semantics/restrictedAccessen_GB
dc.subjectGenetic algorithmsen_GB
dc.subjectUniversal Mobile Telecommunications Systemen_GB
dc.subjectWireless localizationen_GB
dc.titleA genetic algorithm approach to user location estimation in UMTS networksen_GB
dc.typeconferenceObjecten_GB
dc.rights.holderThe copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder.en_GB
dc.bibliographicCitation.conferencenameEUROCON 2007 - The International Conference on "Computer as a Tool"en_GB
dc.bibliographicCitation.conferenceplaceWarsaw, Poland, 2007en_GB
dc.description.reviewedpeer-revieweden_GB
dc.identifier.doi10.1109/EURCON.2007.4400320-
Appears in Collections:Scholarly Works - FacICTCCE

Files in This Item:
File Description SizeFormat 
Conference paper - A Genetic Algorithm Approach to User Location Estimation in UMTS Networks.pdf
  Restricted Access
A genetic algorithm approach to user location estimation in UMTS networks648.4 kBAdobe PDFView/Open Request a copy


Items in OAR@UM are protected by copyright, with all rights reserved, unless otherwise indicated.