Channel Estimation for RIS-Aided mmWave MIMO Systems
Paper in 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

Author

Jiguang He

University of Oulu

Markus Leinonen

University of Oulu

Henk Wymeersch

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

Markku Juntti

University of Oulu

2020 IEEE Global Communications Conference, GLOBECOM 2020 - Proceedings

Vol. 2020-January 9348112
9781728182988 (ISBN)

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

Subject Categories

Telecommunications

Communication Systems

Signal Processing

DOI

10.1109/GLOBECOM42002.2020.9348112

More information

Latest update

1/3/2024 9