Applied Mathematics & Information Sciences

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In this paper, an efficient approach for cell zooming mechanism of Base Station is proposed using classification method. The proposed cell zooming methodology has the following stages: capacity computation of base station, determination of payload of each cell and processing of BS to be switched ON/OFF using Neural Network classification approach. The performance of the proposed cell zooming methodology using classification approach is analyzed in terms of call handling rate, latency and throughput. The proposed cell zooming mechanism using feed forward back propagation neural networks achieves 94.2\% of CHR, 14.4 ns of latency and 18,187 bits/esc of throughput.

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