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.

compressive sensing

Channel estimation

millimeter wave MIMO

reconfigurable intelligent surface

Författare

Jiguang He

Centre for Wireless Communications Finland

Markus Leinonen

Centre for Wireless Communications Finland

Henk Wymeersch

Chalmers, Elektroteknik, Kommunikations- och antennsystem, Kommunikationssystem

Markku Juntti

Centre for Wireless Communications Finland

2020 IEEE Global Communications Conference, GLOBECOM 2020 - Proceedings

Vol. 2020-January 9348112

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

Ämneskategorier

Telekommunikation

Kommunikationssystem

Signalbehandling

DOI

10.1109/GLOBECOM42002.2020.9348112

Mer information

Senast uppdaterat

2021-03-12