  Gaza Strip suffers from a chronic electricity deficit that affects all
industries including the telecommunication field, so there is a need to
optimize and reduce power consumption of the telecommunication equipment. In
this paper we propose a new model that helps GSM radio frequency engineers to
choose the optimal value of hysteresis parameter for Ericsson BTS power saving
algorithm which aims to switch OFF unused frequency channels, our model is
based on unsupervised machine learning clustering K-means algorithm. By using
our model with BTS power saving algorithm we reduce number of active TRX by
20.9%.
