Näytä suppeat kuvailutiedot

dc.contributor.authorAsghar, Muhammad Zeeshan
dc.date.accessioned2016-12-15T07:33:47Z
dc.date.available2016-12-15T07:33:47Z
dc.date.issued2016
dc.identifier.isbn978-951-39-6885-4
dc.identifier.otheroai:jykdok.linneanet.fi:1644484
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/52363
dc.description.abstractThis doctoral dissertation is aimed at the creation of comprehensive and innovative Self-Organizing Networks (SON) solutions for the Network Management of future wireless networks. More specifically, the thesis focuses on the Self-Healing (SH) part of SON. Faults can appear at several functional areas of a complex cellular network. However, the most critical domain from a fault management viewpoint is the Radio Access Network (RAN). The fault management of network elements is not only difficult but also imposes high costs both in capital investment (CAPEX) and operational expenditures (OPEX). The SON concept has emerged with the goal to foster automation and to reduce human involvement in management tasks. SH is the part of SON that refers to autonomous fault management in wireless networks, including performance monitoring, detection of faults and their causes, triggering compensation and recovery actions, and evaluating the outcome. It improves business resiliency by eliminating disruptions that are discovered, analyzed and acted upon. With the advent of 5G technologies, the management of SON becomes more challenging. The traditional SH solutions are not sufficient for the future needs of the cellular network management because of their reactive nature, i.e., they start recovering from faults after detection instead of preparing for possible faults in a preemptive manner. The detection delays are especially problematic with regard to the zero latency requirements of 5G networks. In order to address this challenge, the existing SON enabled networks need to be upgraded with additional features. This situation pushes operators to upgrade their SONs from reactive to proactive response and opens doors for further reseach on SON and SH. This dissertation provides several contributions to this direction.
dc.format.extent1 verkkoaineisto (51 sivua, 27 sivua useina numerointijaksoina)
dc.language.isoeng
dc.publisherUniversity of Jyväskylä
dc.relation.ispartofseriesJyväskylä studies in computing
dc.subject.otheritseorganisoituvat verkot
dc.subject.otheritsekorjautuvuus
dc.subject.otherself-organizing networks
dc.subject.otherself-healing
dc.subject.otherfaults management
dc.subject.othercell degradation detection
dc.subject.othercell outgate management
dc.subject.othermobile networks
dc.titleDesign and evaluation of self-healing solutions for future wireless networks
dc.typeDiss.
dc.identifier.urnURN:ISBN:978-951-39-6885-4
dc.type.dcmitypeTexten
dc.type.ontasotVäitöskirjafi
dc.type.ontasotDoctoral dissertationen
dc.contributor.tiedekuntaInformaatioteknologian tiedekuntafi
dc.contributor.yliopistoUniversity of Jyväskyläen
dc.contributor.yliopistoJyväskylän yliopistofi
dc.contributor.oppiaineTietotekniikkafi
dc.relation.issn1456-5390
dc.relation.numberinseries253
dc.rights.accesslevelopenAccessfi
dc.subject.ysolangattomat verkot
dc.subject.ysomatkaviestinverkot
dc.subject.ysoradioverkot
dc.subject.yso5G-tekniikka
dc.subject.ysoverkonhallinta
dc.subject.ysoautomaatio
dc.subject.ysotukiasemat
dc.subject.ysoviat
dc.subject.ysoennakointi


Aineistoon kuuluvat tiedostot

Thumbnail

Aineisto kuuluu seuraaviin kokoelmiin

Näytä suppeat kuvailutiedot