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Probability criterion paging area planning in future mobile communications systems

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dc.contributor.author Kazantzakis, MG en
dc.contributor.author Koukoutsidis, IZ en
dc.contributor.author Demestichas, PP en
dc.contributor.author Theologou, ME en
dc.date.accessioned 2014-03-01T01:21:15Z
dc.date.available 2014-03-01T01:21:15Z
dc.date.issued 2004 en
dc.identifier.issn 0140-3664 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/16160
dc.subject Mobile network en
dc.subject Paging areas en
dc.subject Planning algorithm en
dc.subject Probability of location en
dc.subject Signaling load decrease en
dc.subject.classification Computer Science, Information Systems en
dc.subject.classification Engineering, Electrical & Electronic en
dc.subject.classification Telecommunications en
dc.subject.other Algorithms en
dc.subject.other Channel capacity en
dc.subject.other Multimedia systems en
dc.subject.other Problem solving en
dc.subject.other Telecommunication networks en
dc.subject.other Virtual storage en
dc.subject.other Mobile networks en
dc.subject.other Paging areas en
dc.subject.other Planning algorithms en
dc.subject.other Probability of location en
dc.subject.other Signaling load decrease en
dc.subject.other Mobile telecommunication systems en
dc.title Probability criterion paging area planning in future mobile communications systems en
heal.type journalArticle en
heal.identifier.primary 10.1016/j.comcom.2003.12.003 en
heal.identifier.secondary http://dx.doi.org/10.1016/j.comcom.2003.12.003 en
heal.language English en
heal.publicationDate 2004 en
heal.abstract Future mobile telecommunications systems are obligated to offer advanced multimedia services to a huge number of users. The burden imposed by the signaling operations supporting these services can severely degrade the system performance and lead to congestion problems in network equipment (switches, databases, gateways, etc.). Paging operations in a mobile cellular network are responsible for a large part of the signaling load and, therefore, the issue of how to efficiently conduct them becomes of critical importance. The key to its solution lies on the application of multiple step paging schemes and on the 'proper' planning of paging areas (PAs). In this paper, we devise and solve a version of the PA-planning problem. In particular, we provide a low complexity probabilistic algorithm capable of reducing paging costs. To improve performance, the algorithm uses additional information regarding the locations of last user-network interactions. Numerical results show that significant savings can be achieved compared to a conventional paging scheme. (C) 2004 Elsevier B.V. All rights reserved. en
heal.publisher ELSEVIER SCIENCE BV en
heal.journalName Computer Communications en
dc.identifier.doi 10.1016/j.comcom.2003.12.003 en
dc.identifier.isi ISI:000220680300002 en
dc.identifier.volume 27 en
dc.identifier.issue 7 en
dc.identifier.spage 581 en
dc.identifier.epage 588 en


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