Studies in Computational Intelligence

Call Admission Control in Mobile Cellular Networks

Authors: Ghosh, Sanchita, Konar, Amit

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  • 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
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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.

Table of contents (6 chapters)

Table of contents (6 chapters)
  • An Overview of Call Admission Control in Mobile Cellular Networks

    Pages 1-62

    Ghosh, Sanchita (et al.)

  • An Overview of Computational Intelligence Algorithms

    Pages 63-94

    Ghosh, Sanchita (et al.)

  • Call Management in a Cellular Mobile Network Using Fuzzy Comparators

    Pages 95-128

    Ghosh, Sanchita (et al.)

  • An Evolutionary Approach to Velocity and Traffic Sensitive Call Admission Control

    Pages 129-152

    Ghosh, Sanchita (et al.)

  • Call Admission Control Using Bio-geography Based Optimization

    Pages 153-181

    Ghosh, Sanchita (et al.)

Buy this book

eBook $109.00
price for USA in USD (gross)
  • ISBN 978-3-642-30997-7
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $169.99
price for USA in USD
  • ISBN 978-3-642-30996-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $139.99
price for USA in USD
  • ISBN 978-3-642-43453-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the eBook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Call Admission Control in Mobile Cellular Networks
Authors
Series Title
Studies in Computational Intelligence
Series Volume
437
Copyright
2013
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-642-30997-7
DOI
10.1007/978-3-642-30997-7
Hardcover ISBN
978-3-642-30996-0
Softcover ISBN
978-3-642-43453-2
Series ISSN
1860-949X
Edition Number
1
Number of Pages
XII, 236
Topics