Call Admission Control in Mobile Cellular Networks

  • Sanchita Ghosh
  • Amit Konar

Part of the Studies in Computational Intelligence book series (SCI, volume 437)

Table of contents

  1. Front Matter
    Pages 1-10
  2. Sanchita Ghosh, Amit Konar
    Pages 63-94
  3. Sanchita Ghosh, Amit Konar
    Pages 153-181
  4. Sanchita Ghosh, Amit Konar
    Pages 183-184
  5. Back Matter
    Pages 0--1

About this book

Introduction

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.

Keywords

Automatic Call Management Call Admission Control Cellular Mobile Network Computational Intelligence

Authors and affiliations

  • Sanchita Ghosh
    • 1
  • Amit Konar
    • 2
  1. 1.Artificial Intelligence Laboratory, Department of Electronics andJadavpur UniversityCalcuttaIndia
  2. 2., Department of Electronics and Tele-commuJadavpur UniversityCalcuttaIndia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-30997-7
  • Copyright Information Springer-Verlag Berlin Heidelberg 2013
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-30996-0
  • Online ISBN 978-3-642-30997-7
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • About this book