Distance Aware Energy Efficient Cellular Mobile Network using Semi Adaptive Clustering Algorithm

Abstract

This paper explores the energy efficiency maximization of cellular mobile network using user based clustering scheme. We developed a clustering algorithm that automatically draws a number of concentric circles and so that the transmit power is adjusted adaptively based on the maximum radius at which the threshold value of user density is attained. As a result the transmit power of the BS linearly changes with the size of the outermost concentric circles and the number of mobile stations as well. The numerical result indicated that from 10 sample scans of the 2 km radius BS(BS) an average of 6% of the maximum transmit power has been saved and this brings a valuable return on the environmental effect and  energy consumption costs of the operators.