In this paper, channel estimation techniques and phase shift design for intelligent reflecting surface (IRS)-empowered single-user multiple-input multiple-output (SU-MIMO) systems are proposed. Among four channel estimation techniques developed in the paper, the two novel ones, single-path approximated channel (SPAC) and selective emphasis on rank-one matrices (SEROM), have low training overhead to enable practical IRS-empowered SU-MIMO systems. SPAC is mainly based on parameter estimation by approximating IRS-related channels as dominant single-path channels. SEROM exploits IRS phase shifts as well as training signals for channel estimation and easily adjusts its training overhead. A closed-form solution for IRS phase shift design is also developed to maximize spectral efficiency where the solution only requires basic linear operations. Numerical results show that SPAC and SEROM combined with the proposed IRS phase shift design achieve high spectral efficiency even with low training overhead compared to existing methods.
翻译:在本文件中,提出了智能反射表面(IRS)动力单一用户多投入多产出(SU-MIMO)系统的频道估计技术和分阶段转移设计;在文件中开发的四种频道估计技术中,两个新型技术,即单一途径近似信道(SPAC)和有选择地强调一级矩阵(SEMOM),其培训间接费用较低,以便能够建立实用的IRS动力SU-MIIM系统;SPAC主要基于参数估计,将IRS相关渠道作为主要的单一途径,以近似IRS相关渠道作为参数估计;SEMOM利用IRS阶段转移和培训信号进行频道估计,并方便调整其培训间接费用;还开发了IRS阶段转移设计的封闭式解决方案,以便在解决方案只需要基本线性操作的情况下最大限度地提高光谱效率;数字结果表明,SPAC和SEMROM与拟议的IRS阶段转移设计相结合,即使与现有方法相比培训间接费用较低,也实现了高光谱效率。