A Mathematical Model for Cell Zooming Mechanism of Base Station using Classification Approach

Authors

V. Sivachandran, Department of Electronics and Communication Engineering, Anna University, Chennai, IndiaFollow
M. Malleswaran, Department of Electronics and Communication Engineering, University College of Engineering, Kancheepuram, IndiaFollow

Author Country (or Countries)

India

Abstract

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.

Digital Object Identifier (DOI)

http://dx.doi.org/10.18576/amis/130620

Recommended Citation

Sivachandran, V. and Malleswaran, M. (2019) "A Mathematical Model for Cell Zooming Mechanism of Base Station using Classification Approach," Applied Mathematics & Information Sciences: Vol. 13: Iss. 6, Article 20.
DOI: http://dx.doi.org/10.18576/amis/130620
Available at: https://digitalcommons.aaru.edu.jo/amis/vol13/iss6/20