一种基于多元线性回归算法的TD-LTE网络规划传播模型校正算法  

A Multivariate Linear Regression Algorithm for TD-LTE Network Planning Propagation Model Calibration

作　　者：姜博 李晓坪 JIANG Bo;LI Xiaoping(China Academy of Information and Communications Technology,Beijing 100000;Beijing Kunyuan Hexun Technology Co.,Ltd.,Beijing 100000)

机构地区：[1]中国信息通信研究院,北京100000 [2]北京坤元和讯技术有限公司,北京100000

出　　处：《移动通信》2019年第8期83-86,共4页Mobile Communications

摘　　要：在无线网络规划中,传播模型能否与目标规划场景匹配,对规划仿真结果指标的准确性有直接影响。介绍了一种多元线性回归算法,根据CW测试数据,对SPM传播模型进行校正,获取与实际CW无线测试环境相匹配的一套参数。仿真结果表明,多元线性回归算法获取的传播模型校正结果能够有效满足实际无线规划仿真的需求。In the radio network planning,whether the propagation model matches the target planning scenario has a direct impact on the accuracy of planning simulation results.This paper introduces a multivariate linear regression algorithm,which corrects SPM propagation model according to CW measurement data,and obtains a set of parameters matching the actual CW wireless test environment.Simulation results show that the calibration results of the propagation model obtained by the multivariate linear regression algorithm can effectively meet the needs of practical wireless planning simulation.

关 键 词：CW测试 多元线性回归 传播模型校正 

分 类 号：TN929.5[电子电信—通信与信息系统]