Abdul Q. Ansari, Premchand Saxena, and Koyel Datta Gupta
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Fuzzy clustering, traffic prediction, message complexity, channelacquisition delay, call blocking rate
The mobility of the cellular users indicates non-uniform load (traffic) in different regions of the wireless network. This calls for a channel allocation technique which is able to adapt with the changing load pattern in different regions. The paper addresses the issue of efficient time bound channel allocation in cellular network with non-uniform traffic load distribution. The proposed technique identifies “heavy load cells and partitions the cells of the network into groups where the “heavy load cells will act as a group head. The number of such groups is not known a priori. A pure dynamic channel allocation technique, whether central or distributed, may require more computation and allocation time. A hybrid channel allocation technique being a combination of fixed and dynamic allocation can prove to be better time efficient channel allocation technique for real-time wireless communication networks. In this paper, we propose a hybrid traffic aware channel allocation technique which adapts itself on the basis of altering load patterns for every region. The technique is based on backpropagation algorithm for identifying the traffic trends of different regions or cells and utilizes the information for clustering cells and spectrum allocation in an intra-cluster manner.
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