基于AI的5G基站节能技术研究

Research on Intelligent Energy Saving Technology of 5G Base Station Based on AI

随着5G时代的到来,通信业务种类和终端连接数呈爆发式增长,通信行业节能降耗面临着前所未有的挑战。分析了5G基站的能耗模型与基础节能技术,提出基于AI的智能节能技术和方案,通过业务负荷预测、智能场景识别、多网协同配合等手段采用灵活精准的节能策略,在确保用户感知体验的前提下有效提升能源利用效率,降低电信运营商OPEX费用。

With the advent of the 5G era,the types of communication services and the number of terminal connections are exploding,and the energy saving in the communication industry is facing unprecedented challenges.This paper analyzes the energy consumption model and fundamental energy-saving technologies of 5G base station,and proposes AI-based energy-saving technologies and solutions.Flexible and precise energy-saving strategies are adopted through load forecasting,intelligent scenario recognition and multi-network cooperation.Under the premise of guaranteeing user-perceived experience,the energy efficiency is effectively improved and OPEX costs for telecom operators are reduced.