Time-Varying Channel Prediction for RIS-Assisted MU-MISO Networks via Deep Learning-Reference-Cited by-同舟云学术

Time-Varying Channel Prediction for RIS-Assisted MU-MISO Networks via Deep Learning

Published:2022-12 Issue:4 Volume:8 Page:1802-1815
ISSN:2332-7731
Container-title:IEEE Transactions on Cognitive Communications and Networking
language:
Short-container-title:IEEE Trans. Cogn. Commun. Netw.

Author:

Xu Wangyang¹^ORCID,An Jiancheng²^ORCID,Xu Yongjun³^ORCID,Huang Chongwen⁴^ORCID,Gan Lu¹^ORCID,Yuen Chau²^ORCID

Affiliation:

1. School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, China

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

3. School of Communication and Information Engineering, Chongqing Key Laboratory of Mobile Communications Technology, Chongqing University of Posts and Telecommunications, Chongqing, China

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

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture

Link

http://xplorestaging.ieee.org/ielx7/6687307/9976263/09814839.pdf?arnumber=9814839

Reference51 articles.

1. Autoregressive modeling for fading channel simulation

2. Fading Channel Prediction for Mobile Radio Adaptive Transmission Systems

3. Channel Estimation for RIS-Empowered Multi-User MISO Wireless Communications

4. TRICE: A Channel Estimation Framework for RIS-Aided Millimeter-Wave MIMO Systems

5. Channel Estimation for Intelligent Reflecting Surface Assisted Multiuser Communications: Framework, Algorithms, and Analysis

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