Power consumption modeling of base stations based on dynamic factors

Power models are crucial to assess the power consumption of base stations (BSs) without quantitive description. Currently available models seldom consider the dynamic factors such as indoor and outdoor temperature. As power model will affect the energy-saving gains of different green resolutions, in this paper we provide such power models for mobile communication BSs relying on practical data collected from several BSs with focus on dynamic factors, e.g., traffic load, indoor and outdoor temperature. The quantitative power models for communication equipment and air conditioning are defined and validated combined with the mathematical method of linear regression. With application of the models we develop an energy saving method which can save at least 10% of the power consumption per year through the simulation and analysis. Still, the method does not affect the normal operation of communication BSs, which takes on strong economy and green significance.