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dc.contributor.authorAsghar, Muhammad
dc.contributor.authorNieminen, Paavo
dc.contributor.authorHämäläinen, Seppo
dc.contributor.authorRistaniemi, Tapani
dc.contributor.authorImran, Muhammad Ali
dc.contributor.authorHämäläinen, Timo
dc.date.accessioned2017-11-14T11:37:33Z
dc.date.available2019-12-09T22:35:40Z
dc.date.issued2017
dc.identifier.citationAsghar, M., Nieminen, P., Hämäläinen, S., Ristaniemi, T., Imran, M. A., & Hämäläinen, T. (2017). Towards Proactive Context-Aware Self-Healing for 5G Networks. <i>Computer Networks</i>, <i>128</i>, 5-13. <a href="https://doi.org/10.1016/j.comnet.2017.04.053" target="_blank">https://doi.org/10.1016/j.comnet.2017.04.053</a>
dc.identifier.otherCONVID_26984325
dc.identifier.otherTUTKAID_73676
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/55871
dc.description.abstractIn this paper, we suggest a new research direction and a future vision for Self-Healing (SH) in Self-Organizing Networks (SONs). The problem we wish to solve is that traditional SH solutions may not be sufficient for the future needs of cellular network management because of their reactive nature, i.e., they start recovering after detecting already occurred faults instead of preparing for possible future faults in a pre-emptive manner. The detection delays are especially problematic with regard to the zero latency requirements of 5G networks. To address this problem, existing SONs need to be upgraded from reactive to proactive response. One of the dimensions in SH research is to employ more holistic context information that includes, e.g., user location and mobility information, in addition to traditional context information mostly gathered from sources inside the network. Such extra information has already been found useful in SH. In this paper, we suggest how user context information can not only be incorporated in SH but also how future context could be predicted based on currently available information. We present a user mobility case study as an example to illustrate our idea.
dc.language.isoeng
dc.publisherElsevier
dc.relation.ispartofseriesComputer Networks
dc.subject.otherself-organizing network
dc.subject.otherself-healing
dc.subject.otheruser context
dc.subject.othercontext aware system
dc.subject.other5G networks
dc.titleTowards Proactive Context-Aware Self-Healing for 5G Networks
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-201710304087
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.updated2017-10-30T10:15:05Z
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1
dc.description.reviewstatuspeerReviewed
dc.format.pagerange5-13
dc.relation.issn1389-1286
dc.relation.numberinseries0
dc.relation.volume128
dc.type.versionacceptedVersion
dc.rights.copyright© 2017 Published by Elsevier B.V. This is a final draft version of an article whose final and definitive form has been published by Elsevier. Published in this repository with the kind permission of the publisher.
dc.rights.accesslevelopenAccessfi
dc.relation.doi10.1016/j.comnet.2017.04.053
dc.type.okmA1


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