Semi-Blind Joint Channel and Symbol Estimation in IRS-Assisted Multiuser MIMO Networks

Author:

de Araujo Gilderlan T.1ORCID,Gomes Paulo R. B.1ORCID,de Almeida Andre L. F.1ORCID,Fodor Gabor2ORCID,Makki Behrooz3ORCID

Affiliation:

1. Department of Teleinformatics, Wireless Telecommunication Research Group (GTEL), Federal University of Ceará, Fortaleza, Brazil

2. Ericsson Research, Stockholm, Sweden

3. Ericsson Research, 56 G\"{o}teborg, Ericsson, Sweden

Funder

Ericsson Research, Technical Cooperation UFC.48

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Brazil (CAPES)—Finance Code 001 and CAPES/PRINT

CNPq

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Reducing the Control Overhead of Intelligent Reconfigurable Surfaces via a Tensor-Based Low-Rank Factorization Approach;IEEE Transactions on Wireless Communications;2023-10

2. Channel Estimation for IRS-Aided Single-User MIMO Systems Based on Core Tensor;Proceedings of the 2023 Asia Conference on Artificial Intelligence, Machine Learning and Robotics;2023-09-15

3. Channel Estimation in RIS-Assisted MIMO Systems Operating Under Imperfections;IEEE Transactions on Vehicular Technology;2023

4. Semi-Blind Joint Channel Estimation and Symbol Detection for RIS-Empowered Multiuser mmWave Systems;IEEE Communications Letters;2023-01

5. Low-Complexity Joint Active and Passive Beamforming Design for IRS-Assisted MIMO;IEEE Wireless Communications Letters;2023

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