Channel Estimation for RIS-Aided mmWave MIMO Systems
Paper i proceeding, 2020

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.

Channel estimation

millimeter wave MIMO

reconfigurable intelligent surface

compressive sensing


Jiguang He

Oulun Yliopisto

Markus Leinonen

Oulun Yliopisto

Henk Wymeersch

Chalmers, Elektroteknik, Kommunikation, Antenner och Optiska Nätverk

Markku Juntti

Oulun Yliopisto

2020 IEEE Global Communications Conference, GLOBECOM 2020 - Proceedings

Vol. 2020-January 9348112
9781728182988 (ISBN)

2020 IEEE Global Communications Conference, GLOBECOM 2020
Virtual, Taipei, Taiwan,







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