TRICE: A Channel Estimation Framework for RIS-Aided Millimeter-Wave MIMO Systems

被引:94
作者
Ardah, Khaled [1 ]
Gherekhloo, Sepideh [1 ]
de Almeida, Andre L. F. [2 ]
Haardt, Martin [1 ]
机构
[1] Tech Univ Ilmenau, TU Ilmenau, Commun Res Lab CRL, D-98693 Ilmenau, Germany
[2] Univ Fed Ceara, Wireless Telecom Res Grp GTEL, BR-60020181 Fortaleza, Ceara, Brazil
关键词
Channel estimation; Training; MIMO communication; Radio frequency; Direction-of-arrival estimation; Estimation; Two dimensional displays; Reconfigurable intelligent surface; direction of arrival estimation; compressed sensing; ESPRIT; MIMO; BEAMFORMING DESIGN; INTELLIGENT; SURFACES; PROPAGATION;
D O I
10.1109/LSP.2021.3059363
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
We consider the channel estimation problem in point-to-point reconfigurable intelligent surface (RIS)-aided millimeter-wave (mmWave) MIMO systems. By exploiting the low-rank nature of mmWave channels in the angular domains, we propose a non-iterative Two-stage RIS-aided Channel Estimation (TRICE) framework, where every stage is formulated as a multidimensional direction-of-arrival (DOA) estimation problem. As a result, our TRICE framework is very general in the sense that any efficient multidimensional DOA estimation solution can be readily used in every stage to estimate the associated channel parameters. Numerical results show that the TRICE framework has a lower training overhead and a lower computational complexity, as compared to benchmark solutions.
引用
收藏
页码:513 / 517
页数:5
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