基于AI大数据的无线基站节能系统的设计与应用
Design and Application of the Wireless Station Energy Saving System Based on AI Big Data
罗鹏举 1王彪 1闫林 1施清启1
作者信息
- 1. 中兴通讯股份有限公司,广东 深圳 518000
- 折叠
摘要
为应对2G/3G/4G无线基站在运营商日常运营中高能耗开销及不断上升的电费支出问题,文章提出了一种基于AI大数据技术的无线RAN基站节能系统.该系统旨在针对全网各种场景和不同设备,通过对现有网络配置的深入梳理与调整优化,以及节能功能的智能部署和优化,并对现网站点的建模寻找最优门限值,最后通过AI大数据的持续优化迭代,持续提升节能效益,增强系统的稳定性.在满足用户业务需求的前提下,不断优化无线基站的节能功能,从而显著降低设备功耗,大幅度降低运营商的节能支出.通过实验结果表明,该系统部署到运营商网络中的节能效果十分明显,相比部署该系统之前功耗降幅接近12%,远远高于传统节能手段的增益效果.
Abstract
To address the challenges posed by high energy consumption and escalating electricity costs associated with the operation of 2G/3G/4G wireless base stations,this paper proposes a wireless RAN(Radio Access Network)base station energy-saving system based on AI big data technology.The design of this system aims to cater to various network scenarios and diverse equipment,achieving thorough analysis and optimization of the existing network configurations,along with intelligent deployment and optimization of energy-saving functionalities.Additionally,it involves modeling the current network sites to identify optimal threshold values.Subsequently,through continuous optimization iterations driven by AI big data,the system progressively enhances energy-saving benefits and augments system stability.By continuously optimizing the energy-saving functionalities of wireless base stations while meeting user service demands,the system significantly reduces device power consumption,thereby substantially decreasing energy-saving expenditures for operators.Experimental validation results demonstrate that this system considerably increases energy-saving duration at practical network sites,achieving a nearly 12%reduction in power consumption,a notable advancement over other energy-saving systems.
关键词
无线基站/AI大数据/用户感知/智能节能系统Key words
wireless base station/AI big data/user experience/intelligent energy saving system引用本文复制引用
出版年
2024
NETL
NSTL
万方数据