基于AI的全场景智能基站节电系统设计与实现

doi:10.11959/j.issn.1000-0801.2022169

Abstract

Abstract:

In the context of intensive network construction, how to realize automatic, intelligent, and experienceguaranteed base station energy consumption management has become a pain point for current operators in operation management.A 3G/4G/5G smart base station power saving solution with full intelligent detection, full-scenario modeling, and full-process self-service was innovatively proposed.The coverage scene was distinguished by a dynamic time warping algorithm, and the SARIMA model was used to predict the time frame to build the model dynamically.Monitoring indicators ensured quality of experience, automatically issue power-saving strategies, and promptly raise SMS alerts.In the case that the user had no perception, the energy consumption of the base station was saved to the greatest extent at the cell granularity level.This method had been implemented on a pilot study in a province.The average annual power saving efficiency of a single station in the pilot area can reach 9.24% per day per station, which can be put in actual production.

Key words: base station energy saving, SARIMA, traffic prediction, 5G

CLC Number:

TN914

Wei ZHAO, Bei LI, Ning MENG, Tingwei WANG, Junfan LIN, Le CHEN, Yuhua HU, Hanyuan YANG. Design and implementation of AI-based all-scenario intelligent base station power-saving system[J]. Telecommunications Science, 2022, 38(8): 163-170.

Figures/Tables 6

References 20

[1]	吕婷, 张猛, 曹亘 ,等. 5G 基站节能技术研究[J]. 邮电设计技术, 2020(5): 46-50.
	LYU T , ZHANG M , CAO G ,et al. Research on energy saving technology of 5G base station[J]. Designing Techniques of Posts and Telecommunications, 2020(5): 46-50.
[2]	徐丹, 曾宇, 孟维业 ,等. AI使能的5G节能技术[J]. 电信科学, 2021,37(5): 32-41.
	XU D , ZENG Y , MENG W Y ,et al. AI-enabled 5G energy-saving technology[J]. Telecommunications Science, 2021,37(5): 32-41.
[3]	宋玉利, 李东晓, 武占生 . 基站主设备智能节电技术探讨[J]. 邮电设计技术, 2010(3): 70-73.
	SONG Y L , LI D X , WU Z S . Discussion on smart power saving technology of BTS[J]. Designing Techniques of Posts and Telecommunications, 2010(3): 70-73.
[4]	NOBRE F F , MONTEIRO A , TELLES P R ,et al. Dynamic linear model and SARIMA:a comparison of their forecasting performance in epidemiology[J]. Statistics in Medicine, 2010,20(20): 3051-3069.
[5]	赵文涛, 徐刚 . 智能节电技术研究[J]. 邮电设计技术, 2018(2): 40-45.
	ZHAO W T , XU G . Study on intelligent electricity saving technology[J]. Designing Techniques of Posts and Telecommunications, 2018(2): 40-45.
[6]	CHAOVALITWONGSE W A , PARDALOS P M . On the time series support vector machine using dynamic time warping kernel for brain activity classification[J]. Cybernetics and Systems Analysis, 2008,44(1): 125-138.
[7]	徐金炉, 严海波, 孙琳 . 移动通信基站节能减排解决方案[J]. 邮电设计技术, 2008(12): 57-59.
	XU J L , YAN H B , SUN L . Solution of saving energy and reducing emissions in mobile communication base station[J]. Designing Techniques of Posts and Telecommunications, 2008(12): 57-59.
[8]	黄成龙, 杨文鹏 . 移动通信基站节能控制的理论与实践[J]. 西安工程大学学报, 2008,22(2): 205-209.
	HUANG C L , YANG W P . Theory and practice on energy saving in mobile communication base station[J]. Journal of Xi'an Polytechnic University, 2008,22(2): 205-209.
[9]	陈戈林, 苏智铭 . 基站能耗体系模型分析与节能实践[J]. 邮电设计技术, 2012(9): 22-27.
	CHEN G L , SU Z M . Analysis of base station energy consumption system model and energy saving practice[J]. Designing Techniques of Posts and Telecommunications, 2012(9): 22-27.
[10]	张守国, 张建国, 李曙海 ,等. LTE 无线网络优化实践[M]. 北京: 人民邮电出版社, 2014: 24-26.
	ZHANG S G , ZHANG J G , LI S H ,et al. LTE wireless network optimization practice[M]. Beijing: Posts＆Telecom Press, 2014: 24-26.
[11]	周明千, 曹涛, 陈燕昌 . 通信局房开关电源系统节能方案浅析[J]. 邮电设计技术, 2018(5): 86-89.
	ZHOU M Q , CAO T , CHEN Y C . Analysis of energy saving scheme of switching power supply system for communication stations[J]. Designing Techniques of Posts and Telecommunications, 2018(5): 86-89.
[12]	董宏 . 电信移动基站节能减排思路探讨[C]// 通信电源新技术论坛——通信电源学术研讨会. 2010.
	DONG H , . Discussion on energy saving and emission reduction of telecom mobile base station[C]// Proceedings of New Technology Forum of Communication Power Supply -- Academic Seminar of Communication Power Supply. 2010.
[13]	景洪水 . 基于网络参数的 5G 终端节能优化研究[J]. 邮电设计技术, 2020(8): 34-37.
	JING H S . Research on energy saving optimization of 5G terminal based on mobile network parameters[J]. Designing Techniques of Posts and Telecommunications, 2020(8): 34-37.
[14]	林雨浓, 王昕, 李伟 . 基于自组织网络的 LTE 基站节能优化解决方案[J]. 邮电设计技术, 2018(5): 50-54.
	LIN Y N , WANG X , LI W . LTE base station energy saving optimization solution based on self-organized network[J]. Designing Techniques of Posts and Telecommunications, 2018(5): 50-54.
[15]	张小林, 廖章君, 曹磊 ,等. 基于移动互联网的端到端移动用户感知评估研究[J]. 现代电信科技, 2012,42(11): 73-76.
	ZHANG X L , LIAO Z J , CAO L ,et al. Study on evaluation of end-to-end user perception based on mobile Internet[J]. Modern Science ＆ Technology of Telecommunications, 2012,42(11): 73-76.
[16]	李凤花, 朱洪, 马云刚 . 基于AI的5G网络节能方案研究[J]. 山东通信技术, 2021,41(4): 19-22+43.
	LI F H , ZHU H , MA Y G . Research on AI-based 5G network energy saving scheme[J]. Shandong Communication Technology, 2021,41(4): 19-22+43.
[17]	官磊, 丁洋, 李锐杰 ,等. 面向“双碳”的5G网络节能技术[J]. 电信科学, 2022,38(4): 167-174.
	GUAN L , DING Y , LI R J ,et al. "Dual-carbon" 5G network energy saving technology[J]. Telecommunications Science, 2022,38(4): 167-174.
[18]	罗新军, 徐步阳 . 广电 5G 网络节能技术解决方案[J]. 电信工程技术与标准化, 2022,35(1): 10-13.
	LUO X J , XU B Y . 5G network energy-saving technical solutions for broadcasting and television[J]. Telecommunications Engineering Technology and Standardization, 2022,35(1): 10-13.
[19]	徐丹, 曾宇, 孟维业 ,等. AI使能的5G节能技术[J]. 电信科学, 2021,37(5): 32-41.
	XU D , ZENG Y , MENG W Y ,et al. AI-enabled 5G energy-saving technology[J]. Telecommunications Science, 2021,37(5): 32-41.
[20]	鲁垚光, 王兴伟, 李福亮 ,等. 软件定义网络中的动态负载均衡与节能机制[J]. 计算机学报, 2020,43(10): 1969-1982.
	LU Y G , WANG X W , LI F L ,et al. Dynamic load balancing and energy saving mechanism in software defined networks[J]. Journal of Computer, 2020,43(10): 1969-1982.

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数据类型	时间粒度	数据来源	数据作用
3G实时性能数据	30 min	自动采集	监控指标，判断是否需要干预操作
4G实时性能数据	15 min	自动采集	监控指标，判断是否需要干预操作
5G实时性能数据	15 min	自动采集	监控指标，判断是否需要干预操作
操作日志	天	由智能预测模块输出	指定每日开关计划，确定每日开关站时间点、监控时间段
小区工参	天	自动采集	获取小区同站情况，查看关闭某基站后需要监控的 3G/4G/5G 基站
MDT数据	天	自动采集	获取小区同覆盖情况作为略选择依据，在需要进行基站能否操作/进行何种操作

节电方案	节电小区个数	总节电时长/h
传统低能耗时段下电	35	1 080
智能节电系统	60	1 596.68

Design and implementation of AI-based all-scenario intelligent base station power-saving system

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