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Adaptive resource allocation and dynamic call admission control in wireless networks

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dc.contributor.author Tsiropoulos, GI en
dc.contributor.author Stratogiannis, DG en
dc.contributor.author Cottis, PG en
dc.contributor.author Lagkas, TD en
dc.contributor.author Chatzimisios, P en
dc.date.accessioned 2014-03-01T02:46:40Z
dc.date.available 2014-03-01T02:46:40Z
dc.date.issued 2010 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/32770
dc.subject Barganing game en
dc.subject Call admission control en
dc.subject Radio resource managment en
dc.subject Resource allocation en
dc.subject.other Adaptive resource allocations en
dc.subject.other Bargaining game en
dc.subject.other Barganing game en
dc.subject.other Call admission control en
dc.subject.other Call request en
dc.subject.other Demand function en
dc.subject.other QoS requirements en
dc.subject.other Radio resource management en
dc.subject.other Radio resource managment en
dc.subject.other Resource allocation algorithms en
dc.subject.other Adaptive control systems en
dc.subject.other Algorithms en
dc.subject.other Functions en
dc.subject.other Natural resources management en
dc.subject.other Network management en
dc.subject.other Quality of service en
dc.subject.other Radio en
dc.subject.other Resource allocation en
dc.title Adaptive resource allocation and dynamic call admission control in wireless networks en
heal.type conferenceItem en
heal.identifier.primary 10.1109/GLOCOMW.2010.5700131 en
heal.identifier.secondary http://dx.doi.org/10.1109/GLOCOMW.2010.5700131 en
heal.identifier.secondary 5700131 en
heal.publicationDate 2010 en
heal.abstract Most radio resource management algorithms engage radio resource management and Call Admission Control (CAC) separately as two different procedures. This incorporation of these two procedures into a single scheme seems challenging. In this paper a novel framework combining radio resource management and Probabilistic CAC (PCAC) is proposed. When an incoming call requests admission to the network, radio resource management reallocates the resources to ongoing users employing a bargaining game to determine the new shares of resources allocated to all users. The PCAC algorithm proposed adjusts dynamically the admission criteria according to the output of the resource allocation algorithm and the QoS requirements of ongoing calls. In this course, a demand function is employed to determine the probabilistic parameter employed by PCAC. The performance results presented verify the improvement achieved by the proposed model. ©2010 IEEE. en
heal.journalName 2010 IEEE Globecom Workshops, GC'10 en
dc.identifier.doi 10.1109/GLOCOMW.2010.5700131 en
dc.identifier.spage 1217 en
dc.identifier.epage 1221 en


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