Research on intelligent energy saving scheme for basestations based on prediction and optimal load-close
This article proposes an innovative intelligent energy-saving solution for base stations,which integrates advanced prediction technology and optimal dead load strategy for base stations,aiming to effectively address the problem of high energy consumption of base stations in mobile communication networks.By constructing an accurate network traffic prediction model,taking into account historical data,time patterns,and user behavior characteristics,high-precision prediction of future network traffic can be achieved.Based on these prediction results,the optimal dead load strategy is adopted to dynamically adjust the working state of the base station,that is,to automatically reduce the power consumption of the base station or turn offnon essential transmission units during the predicted low traffic period,and quickly restore full power operation during the high traffic period,ensuring that the network service quality is not affected.This solution not only significantly reduces the overall energy consumption of the base station and improves energy utilization efficiency,but also optimizes network performance through intelligent scheduling,enhancing user experience.
energy saving of base stationspredictive techniquesoptimal load-closeintelligent scheduling
万方数据
维普
