Title :
Fuzzy Clustering Based Channel Allocation in Cellular Network
Author :
Ansari, A.Q. ; Saxena, P.C. ; Gupta, Koyel Datta
Author_Institution :
Dept. of Electr. Eng., Jamia Millia Islamia, New Delhi, India
Abstract :
The paper addresses the problem of channel allocation in cellular network in a distributed environment with minimum message complexity and channel acquiring time. This is achieved by partitioning the cells of the network into clusters where one cell may belong to more than one cluster. The rapid increase in cellular communication requires a channel allocation scheme which is not only efficient but also reliable and scalable. In this paper we propose a technique where channel assignment is done in a distributed way as intra-cluster assignment. The performance of the technique is verified with simulation.
Keywords :
cellular radio; channel allocation; communication complexity; fuzzy set theory; pattern clustering; cellular communication; cellular network; channel acquiring time; channel assignment; distributed environment; fuzzy clustering based channel allocation; intracluster assignment; message complexity; Algorithm design and analysis; Channel allocation; Clustering algorithms; Delay; Heuristic algorithms; Interference; Mobile communication; blocking probability; channel acquisition delay; clustering;
Conference_Titel :
Computational Intelligence and Communication Networks (CICN), 2012 Fourth International Conference on
Conference_Location :
Mathura
Print_ISBN :
978-1-4673-2981-1
DOI :
10.1109/CICN.2012.117
