Evaluation of location area planning scenarios in future mobile telecommunication systems

Markoulidakis, JG; Lyberopoulos, GL; Tsirkas, DF; Sykas, ED

dc.contributor.author	Markoulidakis, JG	en
dc.contributor.author	Lyberopoulos, GL	en
dc.contributor.author	Tsirkas, DF	en
dc.contributor.author	Sykas, ED	en
dc.date.accessioned	2014-03-01T01:10:57Z
dc.date.available	2014-03-01T01:10:57Z
dc.date.issued	1995	en
dc.identifier.issn	1022-0038	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/11520
dc.subject	Heuristic Algorithm	en
dc.subject	Location Area	en
dc.subject	Location Update	en
dc.subject	Mobile Telecommunication	en
dc.subject	Simulation Model	en
dc.subject	User Mobility	en
dc.subject.classification	Computer Science, Information Systems	en
dc.subject.classification	Engineering, Electrical & Electronic	en
dc.subject.classification	Telecommunications	en
dc.title	Evaluation of location area planning scenarios in future mobile telecommunication systems	en
heal.type	journalArticle	en
heal.identifier.primary	10.1007/BF01196255	en
heal.identifier.secondary	http://dx.doi.org/10.1007/BF01196255	en
heal.language	English	en
heal.publicationDate	1995	en
heal.abstract	In third generation mobile telecommunication systems, signalling requirements due to location updating and paging are expected to be remarkable, mainly because of the huge number of mobile subscribers. Location area planning is characterised by the trade-off between the number of location updates and the amount of paging signalling that the network has to deal with. Location area planning should be based on criteria which guarantee that signalling load will be kept under tolerable levels. Various approaches for location area planning in a city environment-the worst case environment-are discussed in this paper. The simplest approach is the use of heuristic algorithms for approximating the optimum location area configuration. Then more complex scenarios which are based on geographical criteria (population distribution, highway topology, etc.) are investigated. Finally, user mobility characteristics are taken into account in the most complex scenarios. All scenarios are applied over a simulation model representing a city area, providing us with a very clear view of their performance characteristics. © 1995 J.C. Baltzer AG, Science Publishers.	en
heal.publisher	Kluwer Academic Publishers	en
heal.journalName	Wireless Networks	en
dc.identifier.doi	10.1007/BF01196255	en
dc.identifier.isi	ISI:000208154300003	en
dc.identifier.volume	1	en
dc.identifier.issue	1	en
dc.identifier.spage	17	en
dc.identifier.epage	29	en