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Call Management in a Cellular Mobile Network Using Fuzzy Comparators

  • Sanchita Ghosh
  • Amit Konar
Part of the Studies in Computational Intelligence book series (SCI, volume 437)

Abstract

The current literature on mobile communication usually considers the channel assignment and the call admission control as two independent problems. However, in practice these two problems are not fully independent. This chapter attempts to solve the complete problem by employing a fuzzy comparator, which compares the membership of two fuzzy measurement variables to take decisions about call admission, satisfying the necessary constrains of channel assignment. Two alternative approaches to handle the problem are addressed. The first approach is concerned with the development of a fuzzy to binary mapping of the measurement variables to decision variables. The latter approach deals with fuzzy to fuzzy mapping, and then employs a fuzzy threshold to transform the fuzzy decisions into binary values for execution. A performance of both the call management techniques are studied with the standard Philadelphia benchmark and the results outperform reported results on independent call admission and channel assignment problems. The results further envisage that the latter approach is better than the former with respect to resource utilization, adaptability to the network conditions and insensitivity to load variations.

Keywords

Mobile Station Channel Assignment Call Admission Control Handoff Call Incoming Call 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Artificial Intelligence Laboratory Department of Electronics and Telecommunication Engineering Jadavpur UniversityCalcuttaIndia
  2. 2.Artificial Intelligence Laboratory Department of Electronics and Telecommunication EngineeringJadavpur UniversityCalcuttaIndia

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