Energy saving technique and measurement in green wireless communication

Abstract

Due to the increasing demand of wireless communication, the number of radio base stations has been growing excessively. The wireless network is designed for maximum traffic load, but the traffic load is unevenly distributed resulting in wastage of energy consumption most of the time during low traffic. Traditional energy saving techniques like switching off certain BSs completely during low traffic, creates problems in restoring to optimum capacity when traffic increases. There is the potential of saving energy consumption along with maintaining the quality of service and resulting environmental impact by introducing dynamic transmitter shutdown technique.In this paper, an algorithm of dynamic transmitter shut down technique during low traffic is proposed. The algorithm depends on automatically switching off unnecessary transmitter when the traffic is low and switching on the required transmitter when the traffic starts to increase. With this technique, base stations dynamically adjust the number of transmitters to be enabled based on the user traffic and required channels without compromising the service quality. The measured results revealed that the proposed model reduces the energy consumption of base stations by up to 18.8% as compared with the traditional static BSs, which is a step forward towards the implementation of green wireless communication.