Tensor-Based Channel Estimation for RIS-Assisted Networks Operating Under Imperfections

no code implementations • 7 Jun 2022 • Paulo R. B. Gomes, Gilderlan T. de Araújo, Bruno Sokal, André L. F. de Almeida, Behrooz Makki, Gábor Fodor

Furthermore, the identifiability and computational complexity of the proposed algorithm are analyzed, and we study the effect of different imperfections on the channel estimation quality.

Channel Estimation for Intelligent Reflecting Surface Assisted MIMO Systems: A Tensor Modeling Approach

no code implementations • 10 Aug 2020 • Gilderlan T. de Araújo, André L. F. de Almeida, Rémy Boyer

In this paper, we address the receiver design for an IRS-assisted multiple-input multiple-output (MIMO) communication system via a tensor modeling approach aiming at the channel estimation problem using supervised (pilot-assisted) methods.

PARAFAC-Based Channel Estimation for Intelligent Reflective Surface Assisted MIMO System

1 code implementation • 17 Jan 2020 • Gilderlan T. de Araújo, André L. F. de Almeida

Intelligent reflective surface (IRS) is an emergent technology for future wireless communications.

Signal Processing