Reducing the Control Overhead of Intelligent Reconfigurable Surfaces via a Tensor-Based Low-Rank Factorization Approach-Reference-Cited by-同舟云学术

Reducing the Control Overhead of Intelligent Reconfigurable Surfaces via a Tensor-Based Low-Rank Factorization Approach

Published:2023-10 Issue:10 Volume:22 Page:6578-6593
ISSN:1536-1276
Container-title:IEEE Transactions on Wireless Communications
language:
Short-container-title:IEEE Trans. Wireless Commun.

Author:

Sokal Bruno¹^ORCID,Gomes Paulo R. B.¹^ORCID,de Almeida André L. F.¹^ORCID,Makki Behrooz²^ORCID,Fodor Gabor²^ORCID

Affiliation:

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

2. Ericsson Research, Gothenburg, Sweden

Funder

Ericsson Research, Sweden, and Ericsson Innovation Center, Brazil, through the Federal University of Ceará (UFC).48 Technical Cooperation Contract Ericsson/UFC

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior-Brasil

CAPES/Programa Institucional de Internacionalização

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Digital Futures Project Perceptive Dependable Cellular Networks for Road Transport

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications

Link

http://xplorestaging.ieee.org/ielx7/7693/10275776/10054591.pdf?arnumber=10054591

Reference51 articles.

1. IRS Phase-Shift Feedback Overhead-Aware Model Based on Rank-One Tensor Approximation

2. Intelligent Reflecting Surface-Aided Wireless Communications: A Tutorial

3. Toward Smart Wireless Communications via Intelligent Reflecting Surfaces: A Contemporary Survey

4. Reconfigurable intelligent surfaces for wireless communications: Overview of hardware designs, channel models, and estimation techniques

5. Smart Radio Environments Empowered by Reconfigurable Intelligent Surfaces: How It Works, State of Research, and The Road Ahead

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