982 www.ijergs.org Energy Saving Scheme In Cellular Networks Based On TACT Framework

Abstract:The increasing popularity of tablets and smartphones has created a huge traffic load demand for radio access networks and has resulted in massive energy consumption and large emission of greenhouse gases. As the demand for energy in the information and communication technology is increasing abruptly, there is pressure in the cellular network operators to reduce the power consumption in the networks. In a typical cellular system, the base stations (BSs) contribute 60%-80 % of the energy consumption of the whole network [1]. Recent studies shows the possibility of dynamically turning on/off some of the base stations can improve the energy consumption significantly. Therefore, to reduce the cost and the amount of energy conserved in cellular network, the reinforcement method is used. This project is mainly proposed for improving the energy conservation of base stations in cellular radio access networks by Markov decision process along with reinforcement learning approach. Here the traffic is calculated through the online processing by Markov decision process [2]. To speed up the ongoing learning process, a transfer actor-critic algorithm is used. We evaluate the proposed scheme and improve the energy consumption in micro cell regions as a further improvement to this project