基于滚动时间窗的PSO—LSSVM的通信基站能耗建模
2017-03-17张英杰许伟汤龙波张营刘文博胡作
张英杰+许伟+汤龙波+张营+刘文博+胡作磊+范朝冬



摘 要:基站是通信网络的重要能耗节点,精准计算合同能源管理(EPC)模式下基站节能量成为该领域的技术瓶颈.以3类典型场景通信基站为对象,提出了一种基于粒子群优化算法(PSO)的滚动时间窗最小二乘支持向量机(LSSVM)的基站能耗建模方法.该方法通过选取预处理的基站配置参数与实时数据建立滚动时间窗,采用PSO优化训练模型参数,并通过LSSVM回归估计训练模型,得到随时间窗数据变化的基站动态能耗模型.仿真试验与样本基站实测数据的验证结果表明,本文建立的能耗模型具有较高的预测精度及泛化能力,对基站节能工程的评估具有良好的应用前景.
关键词:通信基站;能耗模型;最小二乘支持向量机;粒子群;滚动时间窗
中图分类号:TP18;TN929.5 文献标志码:A
Modelling of Base Station Energy Consumption System
Based on Sliding Window PSO-LSSVM
ZHANG Yingjie1,2,XU Wei1,2,TANG Longbo1,2, ZHANG Ying1,2,
LIU Wenbo1,2,HU Zuolei1,2,FAN Chaodong3
(1. College of Information Science and Engineering,Hunan University, Changsha 410082, China;
2.Institute for Communications Energy Conservation, Hunan University, Changsha 410082, China;
3.The College of Information Engineering, Xiangtan University, Xiangtan 411105, China)
Abstract:Base station is a major node for communication network's energy consumption. The accurate calculation of the energy-saving amount for the base station under EPC model is a technology bottleneck in this field. This paper proposed a modeling method of energy consumption of the base station based on particle swarm optimization (PSO) and least squares support vector machine (LSSVM) of sliding window, oriented at three kinds of typical scenarios base station. In this approach, a sliding window was established by selecting configuration parameters of base station and real-time data for pretreatment, and then the dynamic energy consumption model was obtained for the base station, which varied in accordance with that of the sliding window by means of the parameters for PSO training model and LSSVM regression training model. Compared with the simulation and test results from the sample base station, the proposed energy consumption model shows high prediction accuracy and generalization ability, and is applicable for the evaluation of energy-saving engineering of the base station.
Key words:base station;energy consumption model;LSSVM(Least Squares Support Vector Machine);PSO(Particle Swarm Optimization);sliding window
隨着通信业务快速发展,通信业能源消耗也呈快速增长趋势,而通信基站是通信行业能耗的重点,因此,持续有效地整体推进通信基站节能降耗已经成为通信行业节能减排的关键.从目前的形势来看,通信基站的合理设计及节能措施的选择还未形成一个完整体系[1],通信节能发展的瓶颈是过于概念化和粗放型的能源规划,不断增加节能设备,缺少综合信息集成应用、运行监管及评估体系.所以,研究并建立能够精确计算基站能耗的数学模型,对通信企业节能减排和基站用电的精细化管理具有积极的意义.通信基站能耗系统……
