Call Admission Control (CAC) and Dynamic Channel Assignments (DCA) are important decision-making problems in mobile cellular communication systems. Current research in mobile communication considers them as two independent problems, although the former greatly depends on the resulting free channels obtained as the outcome of the latter. This book provides a solution to the CAC problem, considering DCA as an integral part of decision-making for call admission. Further, current technical resources ignore movement issues of mobile stations and fluctuation in network load (incoming calls) in the control strategy used for call admission. In addition, the present techniques on call admission offers solution globally for the entire network, instead of considering the cells independently. CAC here has been formulated by two alternative approaches. The first approach aimed at handling the uncertainty in the CAC problem by employing fuzzy comparators. The second approach is concerned with formulation of CAC as an optimization problem to minimize call drop, satisfying a set of constraints on feasibility and availability of channels, hotness of cells, and velocity and angular displacement of mobile stations. Evolutionary techniques, including Genetic Algorithm and Biogeography Based Optimization, have been employed to solve the optimization problems. The proposed approaches outperform traditional methods with respect to grade and quality of services.
Produktkennzeichnungen
ISBN-10
3642434533
ISBN-13
9783642434532
eBay Product ID (ePID)
211268003
Produkt Hauptmerkmale
Produktart
Lehrbuch
Sprache
Englisch
Anzahl der Seiten
248 Seiten
Verlag
Springer Berlin Heidelberg, Springer Berlin
Publikationsname
Call Admission Control in Mobile Cellular Networks
Autor
Amit Konar
Format
Taschenbuch
Erscheinungsjahr
2014
Zusätzliche Produkteigenschaften
Hörbuch
No
Inhaltsbeschreibung
Paperback
Item Length
23cm
Item Height
1cm
Item Width
15cm
Nummer Innerhalb der Serie
437
Mitautor
Sanchita Ghosh
Buchreihe
Studies in Computational Intelligence
Item Weight
382g
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