5G基站智能节能方案研究

提出一种5G基站智能节能方案,用于降低5G基站设备能耗、节省5G网络运营成本、实现移动通信行业节能减排.所提方案是基于人工智能技术,从网络层面统一配置4G/5G基站节能策略,根据网络选定区域内小区的历史业务数据,构建基站业务负荷预测模型,并生成最优的网络节能策略,根据网络节能策略分别执行各基站的节能任务.在节能任务执行...

Research on 5G Base Station Intelligent Energy Saving Solution

This paper proposes a 5 G base station intelligent energy-saving solution to reduce the energy consumption of 5 G base station equipment, save 5 G network operating costs, and realize energy conservation and emission reduction in the mobile communication industry. Based on artificial intelligence technology, the proposed solution provides a unified configuration of 4 G/5 G base station energy-saving strategies from the network level. Specifically, according to the historical service data of the cells in the selected network area, a service load prediction model is established for base stations(BS), and the optimal network energy-saving strategy is generated and then each BS executes the energy-saving tasks separately. After the execution of the energy-saving tasks, the intelligent energy-saving solution for BSs further optimizes energy-saving parameters and improves the network energy-saving effect based on the feedback data, including the entire network energy-saving effect, network KPI metric changes, and user perceived quality changes in the selected network area. The proposed solution can accurately predict the BS service volume and monitor them in an all-weather and real-time manner, and automatically generate energy-saving strategies to realize network-level intelligent energy-saving based on multi-standard network intelligent collaboration. Hence the energysaving strategies can adapt to the changes of network loads and be flexible in execution.