Channel Estimation for RIS-Aided mmWave MIMO Systems

A reconfigurable intelligent surface (RIS) can shape the radio propagation by passively changing the directions of impinging electromagnetic waves. The optimal control of the RIS requires perfect channel state information (CSI) of all the links connecting the base station (BS) and the mobile station (MS) via the RIS. Thereby the channel (parameter) estimation at the BS/MS and the related message feedback mechanism are needed. In this paper, we adopt a two-stage channel estimation scheme for the RIS-aided millimeter wave (mmWave) MIMO channels using an iterative reweighted method to sequentially estimate the channel parameters. We evaluate the average spectrum efficiency (SE) and the RIS beamforming gain of the proposed scheme and demonstrate that it achieves high-resolution estimation with the average SE comparable to that with perfect CSI.

Authors:
He Jiguang, Leinonen Markus, Wymeersch Henk, Juntti Markku

Publication type:
A4 Article in conference proceedings

Place of publication:
GLOBECOM 2020 – 2020 IEEE Global Communications Conference

Keywords:
Channel estimation, compressive sensing, millimeter wave MIMO, reconfigurable intelligent surface

Published:
15 February 2021

Full citation:
J. He, M. Leinonen, H. Wymeersch and M. Juntti, “Channel Estimation for RIS-Aided mmWave MIMO Systems,” GLOBECOM 2020 – 2020 IEEE Global Communications Conference, Taipei, Taiwan, 2020, pp. 1-6, doi: 10.1109/GLOBECOM42002.2020.9348112

DOI:
https://doi.org/10.1109/GLOBECOM42002.2020.9348112

Read the publication here:
http://urn.fi/urn:nbn:fi-fe202102175148