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dc.contributor.authorTurkka, Jussi
dc.contributor.authorChernogorov, Fedor
dc.contributor.authorBrigatti, Kimmo
dc.contributor.authorRistaniemi, Tapani
dc.contributor.authorLempiäinen, Jukka
dc.date.accessioned2016-01-21T12:22:54Z
dc.date.available2016-01-21T12:22:54Z
dc.date.issued2012
dc.identifier.citationTurkka, J., Chernogorov, F., Brigatti, K., Ristaniemi, T., & Lempiäinen, J. (2012). An approach for network outage detection from drive-testing databases. <i>Journal of Computer Networks and Communications</i>, <i>2012</i>, ID 163184. <a href="https://doi.org/10.1155/2012/163184" target="_blank">https://doi.org/10.1155/2012/163184</a>
dc.identifier.otherCONVID_23145237
dc.identifier.otherTUTKAID_60147
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/48413
dc.description.abstractA data-mining framework for analyzing a cellular network drive testing database is described in this paper. The presented method is designed to detect sleeping base stations, network outage, and change of the dominance areas in a cognitive and self-organizing manner. The essence of the method is to find similarities between periodical network measurements and previously known outage data. For this purpose, diffusion maps dimensionality reduction and nearest neighbor data classification methods are utilized. The method is cognitive because it requires training data for the outage detection. In addition, the method is autonomous because it uses minimization of drive testing (MDT) functionality to gather the training and testing data. Motivation of classifying MDT measurement reports to periodical, handover, and outage categories is to detect areas where periodical reports start to become similar to the outage samples. Moreover, these areas are associated with estimated dominance areas to detected sleeping base stations. In the studied verification case, measurement classification results in an increase of the amount of samples which can be used for detection of performance degradations, and consequently, makes the outage detection faster and more reliable.
dc.language.isoeng
dc.publisherHindawi Publishing Corporation
dc.relation.ispartofseriesJournal of Computer Networks and Communications
dc.subject.othercellular network drive testing database
dc.titleAn approach for network outage detection from drive-testing databases
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-201601211234
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/JournalArticle
dc.date.updated2016-01-21T10:15:36Z
dc.type.coarjournal article
dc.description.reviewstatuspeerReviewed
dc.format.pagerangeID 163184
dc.relation.issn2090-7141
dc.relation.numberinseries0
dc.relation.volume2012
dc.type.versionpublishedVersion
dc.rights.copyright© 2012 Jussi Turkka et al. This is an open access article distributed under the Creative Commons Attribution License.
dc.rights.accesslevelopenAccessfi
dc.subject.ysotiedonlouhinta
jyx.subject.urihttp://www.yso.fi/onto/yso/p5520
dc.rights.urlhttp://creativecommons.org/licenses/by/3.0/
dc.relation.doi10.1155/2012/163184


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© 2012 Jussi Turkka et al. This is an open access article distributed under the Creative Commons Attribution License.
Except where otherwise noted, this item's license is described as © 2012 Jussi Turkka et al. This is an open access article distributed under the Creative Commons Attribution License.