Reconfigurable intelligent surfaces for wireless communications: Overview of hardware designs, channel models, and estimation techniques-Reference-Cited by-同舟云学术

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

Published:2022-03 Issue:1 Volume:3 Page:1-32
ISSN:2708-6240
Container-title:Intelligent and Converged Networks
language:
Short-container-title:Intell. and Converged Netw.

Author:

Jian Mengnan¹,Alexandropoulos George C.²,Basar Ertugrul³,Huang Chongwen⁴,Liu Ruiqi¹,Liu Yuanwei⁵,Yuen Chau⁶

Affiliation:

1. Wireless Research Institute, ZTE Corporation,Beijing,China,100029

2. National and Kapodistrian University of Athens,Department of Informatics and Telecommunications,Athens,Greece,15784

3. Communications Research and Innovation Laboratory (CoreLab), Koç University,Department of Electrical and Electronics Engineering,Istanbul,Turkey,34450

4. College of Information Science and Electronic Engineering, Zhejiang University,Hangzhou,China,310027

5. School of Electronic Engineering and Computer Science, Queen Mary University of London,London,UK,E1 4NS

6. Engineering Product Development (EPD) Pillar, Singapore University of Technology and Design,Singapore,Singapore,487372

Funder

Scientific and Technological Research Council of Turkey

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,General Engineering,General Environmental Science

Link

http://xplorestaging.ieee.org/ielx7/9195266/9765810/09765815.pdf?arnumber=9765815

Reference191 articles.

1. Channel Estimation for Reconfigurable Intelligent Surface Aided MISO Communications: From LMMSE to Deep Learning Solutions

2. Deep Multi-Stage CSI Acquisition for Reconfigurable Intelligent Surface Aided MIMO Systems

3. RIS-Assisted mmWave Channel Estimation Using Convolutional Neural Networks

4. Channel Estimation and Power Scaling of Reconfigurable Intelligent Surface with Non-Ideal Hardware

5. Channel Estimation for Practical IRS-Assisted OFDM Systems

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