An iterative approach to the power control problem in multi-service CDMA systems: Distributed algorithms and their convergence

Kotsakis, GV; Papavassiliou, S

dc.contributor.author	Kotsakis, GV	en
dc.contributor.author	Papavassiliou, S	en
dc.date.accessioned	2014-03-01T01:17:27Z
dc.date.available	2014-03-01T01:17:27Z
dc.date.issued	2002	en
dc.identifier.issn	0929-6212	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/14540
dc.subject	Decentralized power control	en
dc.subject	Iterative algorithms	en
dc.subject	Multi-service CDMA systems	en
dc.subject	Quality of Service	en
dc.subject.classification	Telecommunications	en
dc.subject.other	Algorithms	en
dc.subject.other	Boundary conditions	en
dc.subject.other	Decentralized control	en
dc.subject.other	Eigenvalues and eigenfunctions	en
dc.subject.other	Iterative methods	en
dc.subject.other	Polynomials	en
dc.subject.other	Power control	en
dc.subject.other	Quality of service	en
dc.subject.other	Telecommunication links	en
dc.subject.other	Theorem proving	en
dc.subject.other	Wireless telecommunication systems	en
dc.subject.other	Z transforms	en
dc.subject.other	Decentralized power control	en
dc.subject.other	Iterative power control algorithms	en
dc.subject.other	Multi-service CDMA systems	en
dc.subject.other	Code division multiple access	en
dc.title	An iterative approach to the power control problem in multi-service CDMA systems: Distributed algorithms and their convergence	en
heal.type	journalArticle	en
heal.identifier.primary	10.1023/A:1016055425257	en
heal.identifier.secondary	http://dx.doi.org/10.1023/A:1016055425257	en
heal.language	English	en
heal.publicationDate	2002	en
heal.abstract	In this paper we present two decentralized Iterative Power Control Algorithms (IPCAs) for the uplink and downlink communication in multi-service CDMA wireless environments in order to expand the system capacity while at the same time satisfy the various QoS requirements. The proposed dynamic IPCAs are decentralised in the sense that they can be implemented in a distributed mode at the individual cell sites and mobile stations based on local measurements and information, and without the need of co-ordination between the different cells. The main feature of these two power control algorithms is that they combine the allocation as well as the correction of power in a multi-service wireless system. For the algorithms presented here whenever power settings exist for which all users meet the QoS requirements we prove and demonstrate exponentially fast convergence to the optimal power values. Finally we present some numerical results to assess the performance of our algorithms by applying them in some test cases.	en
heal.publisher	KLUWER ACADEMIC PUBL	en
heal.journalName	Wireless Personal Communications	en
dc.identifier.doi	10.1023/A:1016055425257	en
dc.identifier.isi	ISI:000176463800001	en
dc.identifier.volume	22	en
dc.identifier.issue	1	en
dc.identifier.spage	1	en
dc.identifier.epage	22	en