Aligned Channel Estimation for Beamforming Design in IRS-assisted MIMO Communications

Yuri Ribeiro, André de Almeida, Fazal-E- Asim

DOI: 10.14209/sbrt.2023.1570923834

Evento: XLI Simpósio Brasileiro de Telecomunicações e Processamento de Sinais (SBrT2023)

Keywords: channel factorization channel estimation intelligent reflecting surface beamforming

Abstract

In this paper, we analyze three different methods to perform channel estimation aligned with the joint active and passive beamforming design in an intelligent reflecting surface (IRS)-assisted multiple input multiple output (MIMO) networks. For this purpose, we explore the Kronecker structure of the involved channels to factorize each channel in horizontal and vertical channel components. After the factorized channels are estimated, we apply different strategies to active and passive beamforming designs where each method apply different strategies to jointly optimize the active and passive beamforming. Simulation results showed that the methods which explore the Kronecker structure can significantly enhance the spectral efficiency compared to the benchmark model, due to the processing done to obtain the factorized channel components which reduces the noise from the channel estimation step, with less computational complexity.

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