Antenna Selection for Reconfigurable Intelligent Surfaces: A Transceiver-Agnostic Passive Beamforming Configuration-Reference-Cited by-全球学者库

Antenna Selection for Reconfigurable Intelligent Surfaces: A Transceiver-Agnostic Passive Beamforming Configuration

Published:2023-11 Issue:11 Volume:22 Page:7756-7774
ISSN:1536-1276
Container-title:IEEE Transactions on Wireless Communications
language:
Short-container-title:IEEE Trans. Wireless Commun.

Author:

Xu Chao¹^ORCID,An Jiancheng²^ORCID,Bai Tong³^ORCID,Sugiura Shinya⁴^ORCID,Maunder Robert G.¹^ORCID,Yang Lie-Liang¹^ORCID,Di Renzo Marco⁵,Hanzo Lajos¹^ORCID

Affiliation:

1. School of Electronics and Computer Science, University of Southampton, Southampton, U.K

2. Engineering Product Development Pillar, Singapore University of Technology and Design, Singapore, Singapore

3. School of Cyber Science and Technology, Beihang University, Beijing, China

4. Institute of Industrial Science, The University of Tokyo, Meguro-ku, Tokyo, Japan

5. Laboratoire des Signaux et Systèmes, CentraleSupélec, CNRS, Université Paris-Saclay, Gif-sur-Yvette, France

Funder

NSFC China

National Institute of Information and Communications Technology (NICT), Japan

European Commission through the H2020 ARIADNE Project

H2020 RISE-6G Project

Engineering and Physical Sciences Research Council

European Research Council’s Advanced Fellow Grant QuantCom

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications

Link

http://xplorestaging.ieee.org/ielx7/7693/10314841/10075372.pdf?arnumber=10075372

Reference93 articles.

1. Reconfigurable Intelligent Surface-Assisted Cell-Free Massive MIMO Systems Over Spatially-Correlated Channels

2. AI-Assisted MAC for Reconfigurable Intelligent-Surface-Aided Wireless Networks: Challenges and Opportunities

3. Achievable Rate Analysis and Phase Shift Optimization on Intelligent Reflecting Surface With Hardware Impairments

4. A Tutorial on Beam Management for 3GPP NR at mmWave Frequencies

5. Reconfigurable Intelligent Surfaces for Energy Efficiency in Wireless Communication

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