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

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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 http://hdl.handle.net/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

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