Traffic-adaptive aggregate channel allocation for future cellular communication systems

Demestichas, PP; Tzifa, EC; Anagnostou, ME

dc.contributor.author	Demestichas, PP	en
dc.contributor.author	Tzifa, EC	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	1074-5351	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/12956
dc.subject	0-1 programming	en
dc.subject	Dynamic channel allocation	en
dc.subject	Mobile systems	en
dc.subject	Radio spectrun allocation	en
dc.subject.classification	Engineering, Electrical & Electronic	en
dc.subject.classification	Telecommunications	en
dc.subject.other	Communication channels (information theory)	en
dc.subject.other	Congestion control (communication)	en
dc.subject.other	Frequency allocation	en
dc.subject.other	Heuristic methods	en
dc.subject.other	Telecommunication traffic	en
dc.subject.other	Traffic-adaptive aggregate channel allocation	en
dc.subject.other	Cellular radio systems	en
dc.title	Traffic-adaptive aggregate channel allocation for future cellular communication systems	en
heal.type	journalArticle	en
heal.identifier.primary	10.1002/(SICI)1099-1131(199809/10)11:5<337::AID-DAC375>3.0.CO;2-5	en
heal.identifier.secondary	http://dx.doi.org/10.1002/(SICI)1099-1131(199809/10)11:5<337::AID-DAC375>3.0.CO;2-5	en
heal.language	English	en
heal.publicationDate	1998	en
heal.abstract	A fundamental problem in third-generation mobile systems is the adaptation of the channel allocation to the traffic volume variation. Traffic adaptation may be partly achieved by the following (aggregate channel allocation) problem: given the set of channels, the cell structure and the load to be accommodated in each cell within a certain time zone, find the optimal allocation of channels to cells subject to the restrictions arising from the minimum permissible distance of cells where the same channel can be used at the same time. In this paper the problem is optimally formulated and efficiently solved by a heuristic. In the sequel the performance of a combined channel management scheme that uses the above problem for handling major traffic variations and a distributed DCA scheme for handling local traffic variations is assessed. Finally, results are presented and some concluding remarks are made. (C) 1998 John Wiley & Sons, Ltd.	en
heal.publisher	JOHN WILEY & SONS LTD	en
heal.journalName	International Journal of Communication Systems	en
dc.identifier.doi	10.1002/(SICI)1099-1131(199809/10)11:5<337::AID-DAC375>3.0.CO;2-5	en
dc.identifier.isi	ISI:000077135100006	en
dc.identifier.volume	11	en
dc.identifier.issue	5	en
dc.identifier.spage	337	en
dc.identifier.epage	349	en