Traffic model for third generation cellular mobile telecommunication systems

Markoulidakis, JG; Lyberopoulos, GL; Anagnostou, ME

dc.contributor.author	Markoulidakis, JG	en
dc.contributor.author	Lyberopoulos, GL	en
dc.contributor.author	Anagnostou, ME	en
dc.date.accessioned	2014-03-01T01:14:15Z
dc.date.available	2014-03-01T01:14:15Z
dc.date.issued	1998	en
dc.identifier.issn	1022-0038	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/12955
dc.subject	Closed Form Solution	en
dc.subject	Iteration Method	en
dc.subject	Mobile Telecommunication	en
dc.subject	Radio Resource Management	en
dc.subject	Random Times	en
dc.subject	Residence Time	en
dc.subject	Simulation Tool	en
dc.subject	Traffic Analysis	en
dc.subject	Traffic Model	en
dc.subject	User Mobility	en
dc.subject	Mobile User	en
dc.subject.classification	Computer Science, Information Systems	en
dc.subject.classification	Engineering, Electrical & Electronic	en
dc.subject.classification	Telecommunications	en
dc.subject.other	Computer simulation	en
dc.subject.other	Iterative methods	en
dc.subject.other	Mathematical models	en
dc.subject.other	Telecommunication traffic	en
dc.subject.other	Cell border crossing rate	en
dc.subject.other	Handover arrival processes	en
dc.subject.other	Cellular radio systems	en
dc.title	Traffic model for third generation cellular mobile telecommunication systems	en
heal.type	journalArticle	en
heal.identifier.primary	10.1023/A:1019181028954	en
heal.identifier.secondary	http://dx.doi.org/10.1023/A:1019181028954	en
heal.language	English	en
heal.publicationDate	1998	en
heal.abstract	Traffic analysis for third generation mobile telecommunication systems should take into account a variety of services (e.g., voice, data, video) and ""environments"" (private, public outdoor, public indoor) as well as the user mobility behavior. The analytical traffic model presented in this paper incorporates all the above mentioned features. The model utilizes a set of simplifying assumptions regarding the distribution of certain random time intervals (e.g., call duration and ""cell residence time"") and the handover arrival process. The core of the model focuses on the estimation of the cell border crossing rate and the time it takes a busy mobile user to leave a cell area. This allows for the estimation of the handover rate and the call duration within a cell, which in turn, utilizing an iterative method, allows for the calculation of the offered traffic load per cell. The major advantages of the model are: (a) the simple closed form solutions, (b) its independence from the applied radio resource management scheme, and (c) its accuracy. The latter is validated via a simulation tool, which accommodates different cell-layout scenarios over a geographical area, representing a 'typical' city center, modeled as a Manhattan grid. © J.C. Baltzer AG, Science Publishers.	en
heal.publisher	BALTZER SCI PUBL BV	en
heal.journalName	Wireless Networks	en
dc.identifier.doi	10.1023/A:1019181028954	en
dc.identifier.isi	ISI:000075845500004	en
dc.identifier.volume	4	en
dc.identifier.issue	5	en
dc.identifier.spage	389	en
dc.identifier.epage	400	en