大规模MIMO系统基于简单指数平滑信道预测算法  

A Simple Exponential Smoothing Channel Prediction Algorithm in Massive MIMO System

作　　者：范波勇 周井泉[2] FAN Boyong;ZHOU Jingquan(School of Software,Changsha Social Work College,Changsha Hunan 410004,China;School of Electronic and Optical Engineering,Nanjing University of Posts and Telecommunications,Nanjing Jiangsu 210003,China)

机构地区：[1]长沙民政职业技术学院软件学院,湖南长沙410004 [2]南京邮电大学电子与光学工程学院,江苏南京210003

出　　处：《通信技术》2024年第4期354-358,共5页Communications Technology

基　　金：湖南省教育厅科学研究项目(23C1077)。

摘　　要：在下行链路通信中,为基站配备大规模天线阵列能够提高5G通信的频谱和能量效率。为了实现期望矩阵增益,必须在发射机上获得高精度信道状态信息(Channel State Information,CSI)。随着用户移动速度加快,会出现发射机获得的CSI过期的现象,此时用户间干扰会增加,从而导致系统性能下降。通过研究,提出了一种简单指数平滑算法(Simple Exponential Smoothing,SES)进行信道预测,利用过去观测值的信息生成信道预测值,来有效地预测信道CSI,并在此基础上给出了一个基站总速率的闭式下界表达式。仿真结果表明,所提方法提高了信道预测效率,在复杂度和性能之间能够取得良好的平衡。In downlink communications,equipping base stations with large-scale antenna arrays can improve the spectrum and energy efficiency of 5G communications.In order to achieve the expected matrix gain,high-precision CSI(Channel State Information)must be obtained on the transmitter.As the users’movement speed accelerates,there is a phenomenon of expired CSI obtained by the transmitter.At this time,the interference between users will increase,leading to a decrease in system performance.Through the research,a SES(Simple Exponential Smoothing)algorithm is proposed for channel prediction,which generates channel prediction values based on past observations to effectively predict channel CSI.Based on this,a closed lower bound expression for the total base station rate is given.The simulation results indicate that the proposed method improves the channel prediction efficiency and can achieve a good balance between complexity and performance.

关 键 词：大规模MIMO CSI 延迟 信道预测 

分 类 号：TN911.25[电子电信—通信与信息系统]