LTE系统中SPM校准算法  

STANDARD PROPAGATION MODEL CALIBRATION ALGORITHM FOR LTE SYSTEM

作　　者：李光远[1] 柴远波[1] 孟溪 郭志瑜 秦勉[4,5] Li Guangyuan;Chai Yuanbo;Meng Xi;Guo Zhiyu;Qin Mian(Huanghe Science and Technology College,Zhengzhou 450063,Henan,China;Beijing University of Posts and Telecommunications,Beijing 100876,China;State Key Laboratory of Wireless Mobile Communications,China Academy of Telecommunication Technology,Beijing 100191,China;Zhengzhou University,Zhengzhou 450001,Henan,China;Henan University,Kaifeng 475001,Henan,China)

机构地区：[1]黄河科技学院,河南郑州450063 [2]北京邮电大学,北京100876 [3]电信科学技术研究院无线移动通信国家重点实验室,北京100191 [4]郑州大学,河南郑州450001 [5]河南大学,河南开封475001

出　　处：《计算机应用与软件》2022年第11期93-98,共6页Computer Applications and Software

基　　金：国家自然科学基金项目(U1604159);国家重点研发计划政府间专项项目(2016YFE0118400);河南省产学研合作项目(132107000064)。

摘　　要：在长期演进(Long Term Evolution,LTE)系统无线网络规划中,需要对无线信道中的传播模型进行预测。提出基于中值线的分段标准传播模型(Standard Propagation Model,SPM),并提出了基于奇异值(Singular Value Decomposition,SVD)分解的SPM校准算法,同时给出了基于遗传算法(Genetic Algorithm,GA)的校准方法。仿真结果与分析表明,该分段SPM模型与传统SPM模型相比,更适合无线信道的预测,采用奇异值分解的校准算法,校准误差小。In the long term evolution(LTE)network planning,it is necessary to predict the propagation model in the wireless channel.This paper proposes the piecewise standard propagation model(SPM)based on mid-value line,the SPM calibration algorithm based on singular value decomposition(SVD),and the calibration method based on genetic algorithm(GA).The simulation results show that the proposed piecewise SPM is more suitable for predicting wireless channel,compared with the conventional SPM method.And the calibration algorithm using SVD has smaller calibration error.

关 键 词：长期演进 标准传播模型 最小二乘算法 奇异值分解 遗传算法 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术] TN929.5[电子电信—通信与信息系统]