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TRICE: A Channel Estimation Framework for RIS-Aided Millimeter-Wave MIMO Systems
IEEE Signal Processing Letters ( IF 3.9 ) Pub Date : 2021-02-16 , DOI: 10.1109/lsp.2021.3059363
Khaled Ardah , Sepideh Gherekhloo , Andre L. F. de Almeida , Martin Haardt

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.

中文翻译:

TRICE:用于RIS辅助毫米波MIMO系统的信道估计框架

我们考虑点对点可重构智能表面(RIS)辅助的毫米波(mmWave)MIMO系统中的信道估计问题。通过利用mmWave信道在角域中的低秩性质,我们提出了一个非迭代的两阶段RIS辅助信道估计(TRICE)框架,其中每个阶段都被表述为多维到达方向(DOA)估计问题。因此,从任何意义上讲,任何有效的多维DOA估计解决方案都可以在每个阶段轻松使用来估计相关的信道参数的意义上,我们的TRICE框架非常通用。数值结果表明,与基准解决方案相比,TRIC框架具有较低的训练开销和较低的计算复杂度。
更新日期:2021-03-19
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