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dc.contributor.authorAsghar, Muhammad
dc.contributor.authorNieminen, Paavo
dc.contributor.authorHämäläinen, Seppo
dc.contributor.authorRistaniemi, Tapani
dc.contributor.authorImran, Muhammed Ali
dc.contributor.authorHämäläinen, Timo
dc.date.accessioned2017-05-18T06:29:48Z
dc.date.available2017-05-18T06:29:48Z
dc.date.issued2017
dc.identifier.citationAsghar, M., Nieminen, P., Hämäläinen, S., Ristaniemi, T., Imran, M. A., & Hämäläinen, T. (2017). Cell Degradation Detection based on an Inter-Cell Approach. <i>International Journal of Digital Content Technology and its Applications</i>, <i>11</i>(1), 25-33. <a href="http://www.globalcis.org/jdcta/ppl/JDCTA3792PPL.pdf" target="_blank">http://www.globalcis.org/jdcta/ppl/JDCTA3792PPL.pdf</a>
dc.identifier.otherCONVID_26988457
dc.identifier.otherTUTKAID_73699
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/54010
dc.description.abstractFault management is a crucial part of cellular network management systems. The status of the base stations is usually monitored by well-defined key performance indicators (KPIs). The approaches for cell degradation detection are based on either intra-cell or inter-cell analysis of the KPIs. In intra-cell analysis, KPI profiles are built based on their local history data whereas in inter-cell analysis, KPIs of one cell are compared with the corresponding KPIs of the other cells. In this work, we argue in favor of the inter-cell approach and apply a degradation detection method that is able to detect a sleeping cell that could be difficult to observe using traditional intra-cell methods. We demonstrate its use for detecting emulated degradations among performance data recorded from a live LTE network. The method can be integrated in current systems because it can operate using existing KPIs without any major modification to the network infrastructure.
dc.language.isoeng
dc.publisherConvergence Information Society (GlobalCIS)
dc.relation.ispartofseriesInternational Journal of Digital Content Technology and its Applications
dc.relation.urihttp://www.globalcis.org/jdcta/ppl/JDCTA3792PPL.pdf
dc.subject.othernetwork management
dc.subject.otherfault management
dc.subject.othernetwork management automation
dc.subject.otherself-organizing networks (SON)
dc.subject.otherself-healing
dc.subject.otherlong term evolution (LTE)
dc.subject.otherinter-cell analysis
dc.subject.othercorrelation based cell degradation detection
dc.subject.otherreal LTE network
dc.titleCell Degradation Detection based on an Inter-Cell Approach
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-201705042186
dc.contributor.laitosInformaatioteknologian tiedekuntafi
dc.contributor.laitosFaculty of Information Technologyen
dc.contributor.oppiaineTietotekniikkafi
dc.contributor.oppiaineMathematical Information Technologyen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.date.updated2017-05-04T09:15:06Z
dc.type.coarjournal article
dc.description.reviewstatuspeerReviewed
dc.format.pagerange25-33
dc.relation.issn1975-9339
dc.relation.numberinseries1
dc.relation.volume11
dc.type.versionpublishedVersion
dc.rights.copyright© the Authors & Convergence Information Society, 2017. This is an open access article published by GlobalCIS.
dc.rights.accesslevelopenAccessfi
dc.subject.ysosiirrokset
jyx.subject.urihttp://www.yso.fi/onto/yso/p13601


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