Call Admission Control in Mobile Cellular Networks - Couverture souple

Ghosh, Sanchita

9783642434532: Call Admission Control in Mobile Cellular Networks

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ISBN 10 : 3642434533 ISBN 13 : 9783642434532

Editeur : Springer, 2014

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This book provides a solution to the call admission control (CAC) problem, considering dynamic channel assignments (DCA) as an integral part of decision-making for call admission. It employs evolutionary techniques to solve the optimization problems.

Les informations fournies dans la section � Synopsis � peuvent faire r�f�rence � une autre �dition de ce titre.

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�diteur: Springer
Date d'�dition: 2014
Langue: anglais
ISBN 10: 3642434533
ISBN 13: 9783642434532
Reliure: Broch�
Nombre de pages: 248
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9783642309960: Call Admission Control in Mobile Cellular Networks

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ISBN 10 : 3642309968 ISBN 13 : 9783642309960
Editeur : Springer-Verlag Berlin and Heide..., 2012
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Call Admission Control in Mobile Cellular Networks

Sanchita Ghosh|Amit Konar

Edit� par Springer Berlin Heidelberg, 2014

ISBN 10 : 3642434533 ISBN 13 : 9783642434532

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. A practical approach to Call Admission Control in mobile/cellular networks Presents a Computational Intelligence Approach to Call Admission Control in a Mobile Cellular Network Written by leading experts in the fieldCall Admission Con. N� de r�f. du vendeur 5060775

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Call Admission Control in Mobile Cellular Networks (Studies in Computational Intelligence, 437)

Ghosh, Sanchita

Edit� par Springer, 2014

ISBN 10 : 3642434533 ISBN 13 : 9783642434532

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Call Admission Control in Mobile Cellular Networks

Amit Konar

Edit� par Springer Berlin Heidelberg, 2014

ISBN 10 : 3642434533 ISBN 13 : 9783642434532

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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. N� de r�f. du vendeur 9783642434532

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Call Admission Control in Mobile Cellular Networks

Amit Konar

Edit� par Springer Berlin Heidelberg Sep 2014, 2014

ISBN 10 : 3642434533 ISBN 13 : 9783642434532

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 248 pp. Englisch. N� de r�f. du vendeur 9783642434532

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Call Admission Control in Mobile Cellular Networks

Amit Konar

Edit� par Springer Berlin Heidelberg, Springer Berlin Heidelberg Sep 2014, 2014

ISBN 10 : 3642434533 ISBN 13 : 9783642434532

Neuf Taschenbuch

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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 248 pp. Englisch. N� de r�f. du vendeur 9783642434532

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