基于IRS辅助MIMO通信的双时间尺度信道估计  

Two-Timescale Channel Estimation of MIMO Communication Based on IRS Assistance

作　　者：马诗婷 MA Shi-ting(College of Telecommunications&Information Engineering,Nanjing University of Posts and Telecommunications,Nanjing 210003,China)

机构地区：[1]南京邮电大学通信与信息工程学院,江苏南京210003

出　　处：《软件导刊》2023年第5期158-164,共7页Software Guide

基　　金：国家自然科学基金项目(62171235)。

摘　　要：智能反射面(IRS)可以辅助多输入多输出(MIMO)通信,但其信道估计是一个具有挑战性的难题,为此提出一种利用信道双时间尺度特性进行分段估计的方案。由于基站(BS)和IRS通常固定在某个位置,二者之间的信道维度高但变化缓慢,可视为准静态,可以使用基于坐标下降的信道估计算法估计;而用户设备(UE)处于移动状态,IRSUE和BS-UE的两段信道时变但维度较低,可使用最小二乘算法估计,由此总体导频开销得以降低。仿真结果表明,相较于多种已有方案,该信道估计方案导频开销降低了30%,归一化均方误差减少了25dB,可以在低导频开销情况下实现信道的准确估计。Intelligent reflective surface(IRS)can assist in multi input multi output(MIMO)communication,but its channel estimation is a challenging challenge.Therefore,a segmented estimation scheme utilizing the dual time scale characteristics of the channel is proposed.Due to the fact that the base station(BS)and IRS are usually fixed at a certain position,the channel dimensions between the two are high but slow to change,and can be considered quasi-static.Channel estimation algorithms based on coordinate descent can be used for estimation;However,when the user device(UE)is in a mobile state,the two channel segments of IRS-UE and BS-UE are time-varying but have lower dimensions,which can be estimated using the least squares algorithm,thereby reducing the overall pilot cost.The simulation results show that compared to various existing schemes,this channel estimation scheme reduces pilot overhead by 30%and reduces normalized mean square error by 25dB.It can achieve accurate channel estimation under low pilot overhead conditions.

关 键 词：智能反射面 信道估计 导频开销 多输入多输出技术 无线通信 

分 类 号：TN92[电子电信—通信与信息系统]