Channel Estimation for RIS aided MISO System

TL;DR

This paper compares MVU and MMSE channel estimators in a RIS-aided MISO system, demonstrating that MMSE significantly outperforms MVU with over 10 dB SNR improvement.

Contribution

It introduces a comparison of MVU and MMSE estimators using DFT activation patterns for IRS in MISO systems, highlighting the superior performance of MMSE.

Findings

MMSE estimator achieves over 10 dB SNR gain over MVU.

DFT activation pattern effectively used for IRS channel estimation.

Numerical results validate the performance improvements.

Abstract

This paper considers the channel estimation of a single user in a MISO system with an intelligent reflecting surface (IRS). The performances of the minimum variance unbiased (MVU) and minimum mean square error (MMSE) estimators using the discrete Fourier transform activation pattern for the IRS, updated at every symbol interval, are compared. Numerical results show that the MMSE estimator provides over 10 dB SNR improvement compared to the MVU estimator.