基于预测和最优闭载的基站智能节能方案研究  

Research on intelligent energy saving scheme for basestations based on prediction and optimal load-close

作　　者：师文清 李玉诗 徐明宇 廖振发 邹昌光[1] SHI Wen-qing;LI Yu-shi;XU Ming-yu;LIAO Zhen-fa;ZOU Chang-guang(China Mobile Group Guangdong Co.,Ltd.Maoming Branch,Maoming 525000,China;CICT Mobile Communication Technology Co.,Ltd.,Beijing 100083,China)

机构地区：[1]中国移动通信集团广东有限公司茂名分公司,茂名525000 [2]中信科移动通信技术股份有限公司,北京100083

出　　处：《电信工程技术与标准化》2025年第1期27-32,共6页Telecom Engineering Technics and Standardization

摘　　要：本文提出了一种创新的基站智能节能方案,该方案融合了先进的预测技术与基站最优闭载策略,旨在有效应对移动通信网络中基站能耗过高的问题。通过构建精确的网络流量预测模型,综合考虑历史数据、时间模式及用户行为特征,实现对未来网络流量的高精度预测。基于这些预测结果,采用最优闭载策略动态调整基站工作状态,即在预测的低流量时段自动降低基站功耗或关闭非必要发射单元,而在高流量时段迅速恢复全功率运行,确保网络服务质量不受影响。该方案不仅显著降低了基站的整体能耗,提高了能源利用效率,还通过智能调度优化了网络性能,提升了用户体验。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 off non 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.

关 键 词：基站节能 预测技术 最优闭载 智能调度 

分 类 号：TN86[电子电信—信息与通信工程]