Channel Estimation for RIS aided MISO System

06/24/2023
by   Rıfat Volkan Şenyuva, et al.
0

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.

READ FULL TEXT
research
11/10/2019

Intelligent Reflecting Surface with Discrete Phase Shifts: Channel Estimation and Passive Beamforming

In this paper, we consider an intelligent reflecting surface (IRS)-aided...
research
04/02/2021

Channel Estimation for Intelligent Reflecting Surface Assisted Wireless Communications

In this paper, the minimum mean square error (MMSE) channel estimation f...
research
07/28/2020

MMSE Channel Estimation for Two-Port Demodulation Reference Signals in New Radio

Two-port demodulation reference signals (DMRS) have been employed in new...
research
10/28/2021

Pilot Optimization and Channel Estimation for Two-way Relaying Network Aided by IRS with Finite Discrete Phase Shifters

In this paper, we investigate the problem of pilot optimization and chan...
research
06/15/2018

Differential Evolution Algorithm Aided Turbo Channel Estimation and Multi-User Detection for G.Fast Systems in the Presence of FEXT

The ever-increasing demand for broadband Internet access has motivated t...
research
11/12/2019

Intelligent Reflecting Surface for Massive Device Connectivity: Joint Activity Detection and Channel Estimation

Intelligent Reflecting Surface (IRS) has been a promising solution to en...
research
05/03/2018

A Data-Aided Channel Estimation Scheme for Decoupled Systems in Heterogeneous Networks

Uplink/downlink (UL/DL) decoupling promises more flexible cell associati...

Please sign up or login with your details

Forgot password? Click here to reset