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  • © 2013

Call Admission Control in Mobile Cellular Networks

  • 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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Table of contents (6 chapters)

  1. Front Matter

    Pages 1-10
  2. An Overview of Computational Intelligence Algorithms

    • Sanchita Ghosh, Amit Konar
    Pages 63-94
  3. Call Admission Control Using Bio-geography Based Optimization

    • Sanchita Ghosh, Amit Konar
    Pages 153-181
  4. Conclusions and Future Directions

    • Sanchita Ghosh, Amit Konar
    Pages 183-184
  5. Back Matter

    Pages 0--1

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.

Authors and Affiliations

  • Artificial Intelligence Laboratory, Department of Electronics and, Jadavpur University, Calcutta, India

    Sanchita Ghosh

  • , Department of Electronics and Tele-commu, Jadavpur University, Calcutta, India

    Amit Konar

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

  • Topics: Computational Intelligence, Artificial Intelligence

Buy it now

Buying options

eBook USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access