Overview
- 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 field
Part of the book series: Studies in Computational Intelligence (SCI, volume 437)
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About this book
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.Similar content being viewed by others
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Table of contents (6 chapters)
Authors and Affiliations
Bibliographic Information
Book Title: Call Admission Control in Mobile Cellular Networks
Authors: Sanchita Ghosh, Amit Konar
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-642-30997-7
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2013
Hardcover ISBN: 978-3-642-30996-0Published: 15 August 2012
Softcover ISBN: 978-3-642-43453-2Published: 20 September 2014
eBook ISBN: 978-3-642-30997-7Published: 14 August 2012
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XII, 236