Automatic call management in a cellular mobile network by fuzzy threshold logic

Issue title: Intelligent Information Processing: Techniques and Applications

Guest editors: C.P. Limx and L.C. Jainy

Article type: Research Article

Authors: Ghosh, Sanchita^{a; *} | Konar, Amit^b | Jain, Lakhmi C.^c

Affiliations: [a] BIT Kolkata Extension Centre, Kolkata, India | [b] ETCE Department, Jadavpur University, Kolkata, West Bengal, India | [c] University of South Australia, Adelaide, North Terrace, Australia | [x] University of South Australia, Adelaide, South Australia, Australia | [y] University of Science, Malaysia

Correspondence: [*] Corresponding author. E-mail: bij_arn@yahoo.com

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 paper attempts to solve the complete problem uniquely by two alternative approaches. 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 matching, and then employs a fuzzy threshold to transform the fuzzy decisions into binary values for execution. The 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.

Keywords: Call admission control, channel assignment, takagi – sugano fuzzy logic

DOI: 10.3233/KES-2012-0232

Journal: International Journal of Knowledge-based and Intelligent Engineering Systems, vol. 16, no. 1, pp. 49-68, 2012