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dc.contributor.authorFortes, Sergio
dc.contributor.authorBaena, Carlos
dc.contributor.authorVillegas, Javier
dc.contributor.authorBaena, Eduardo
dc.contributor.authorAsghar, Muhammad Z.
dc.contributor.authorBarco, Raquel
dc.date.accessioned2021-03-15T06:44:20Z
dc.date.available2021-03-15T06:44:20Z
dc.date.issued2021
dc.identifier.citationFortes, S., Baena, C., Villegas, J., Baena, E., Asghar, M. Z., & Barco, R. (2021). Location-Awareness for Failure Management in Cellular Networks : An Integrated Approach. <i>Sensors</i>, <i>21</i>(4), Article 1501. <a href="https://doi.org/10.3390/s21041501" target="_blank">https://doi.org/10.3390/s21041501</a>
dc.identifier.otherCONVID_51886860
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/74621
dc.description.abstractRecent years have seen the proliferation of different techniques for outdoor and, especially, indoor positioning. Still being a field in development, localization is expected to be fully pervasive in the next few years. Although the development of such techniques is driven by the commercialization of location-based services (e.g., navigation), its application to support cellular management is considered to be a key approach for improving its resilience and performance. When different approaches have been defined for integrating location information into the failure management activities, they commonly ignore the increase in the dimensionality of the data as well as their integration into the complete flow of networks failure management. Taking this into account, the present work proposes a complete integrated approach for location-aware failure management, covering the gathering of network and positioning data, the generation of metrics, the reduction in the dimensionality of such data, and the application of inference mechanisms. The proposed scheme is then evaluated by system-level simulation in ultra-dense scenarios, showing the capabilities of the approach to increase the reliability of the supported diagnosis process as well as reducing its computational cost.en
dc.format.mimetypeapplication/pdf
dc.languageeng
dc.language.isoeng
dc.publisherMDPI
dc.relation.ispartofseriesSensors
dc.rightsCC BY 4.0
dc.subject.othercellular networks
dc.subject.otherlocation-awareness
dc.subject.otherpositioning
dc.subject.otherfailure management
dc.titleLocation-Awareness for Failure Management in Cellular Networks : An Integrated Approach
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-202103151963
dc.contributor.laitosInformaatioteknologian tiedekuntafi
dc.contributor.laitosFaculty of Information Technologyen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.description.reviewstatuspeerReviewed
dc.relation.issn1424-8220
dc.relation.numberinseries4
dc.relation.volume21
dc.type.versionpublishedVersion
dc.rights.copyright© 2021 by the authors. Licensee MDPI, Basel, Switzerland.
dc.rights.accesslevelopenAccessfi
dc.relation.grantnumber1916/31/2017
dc.subject.ysoviat
dc.subject.ysopaikkatiedot
dc.subject.ysolangattomat verkot
dc.subject.ysoverkonhallinta
dc.subject.ysomatkaviestinverkot
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p543
jyx.subject.urihttp://www.yso.fi/onto/yso/p2152
jyx.subject.urihttp://www.yso.fi/onto/yso/p24221
jyx.subject.urihttp://www.yso.fi/onto/yso/p15513
jyx.subject.urihttp://www.yso.fi/onto/yso/p12758
dc.rights.urlhttps://creativecommons.org/licenses/by/4.0/
dc.relation.doi10.3390/s21041501
dc.relation.funderTEKESfi
dc.relation.funderTEKESen
jyx.fundingprogramTUTL Tutkimusideoista uutta tietoa ja liiketoimintaa, TEKESfi
jyx.fundingprogramTUTL New knowledge and business from research ideas, TEKESen
jyx.fundinginformationThis work has been partially supported by Business Finland (grant no.1916/31/2017). It has been also performed in the framework of the Horizon 2020 project LOCUS (ICT-871249) receiving funds from the European Union. This work has been also partially funded by Junta de Andalucía and ERDF in the framework of the projects IDADE-5G (UMA18-FEDERJA-201, “Programa Operativo FEDER Andalucía 2014–2020”), PENTA (“Proyecto de Excelencia PENTA, P18-FR-4647P18-FR-4647”, “Consejería de Transformación Económica, Industria, Conocimiento y Universidades”) and SMART (“Sistema de Monitorización y análisis Automático de Redes de Telecomunicación (SMART)”, “Incentivos a los agentes públicos del Sistema Andaluz del Conocimiento, para la realización de proyectos de I+D+i, en el ámbito del Plan Andaluz de Investigación, Desarrollo e Innovación PAIDI 2020”).


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