Sparse Bayesian Learning Based Channel Extrapolation for RIS Assisted MIMO-OFDM-Reference-Cited by-同舟云学术

Sparse Bayesian Learning Based Channel Extrapolation for RIS Assisted MIMO-OFDM

Published:2022-08 Issue:8 Volume:70 Page:5498-5513
ISSN:0090-6778
Container-title:IEEE Transactions on Communications
language:
Short-container-title:IEEE Trans. Commun.

Author:

Xu Xiaowen¹^ORCID,Zhang Shun¹^ORCID,Gao Feifei²^ORCID,Wang Jiangzhou³^ORCID

Affiliation:

1. State Key Laboratory of Integrated Services Networks, Xidian University, Xi’an, China

2. Department of Automation, Institute for Artificial Intelligence and the State Key Laboratory of Intelligent Technologies and Systems, Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China

3. School of Engineering, University of Kent, Canterbury, U.K

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/26/9857976/09801875.pdf?arnumber=9801875

Reference42 articles.

1. The variational approximation for Bayesian inference

2. A New Path Division Multiple Access for the Massive MIMO-OTFS Networks

3. Deep Learning Based Channel Extrapolation for Large-Scale Antenna Systems: Opportunities, Challenges and Solutions

4. Deep Learning Optimized Sparse Antenna Activation for Reconfigurable Intelligent Surface Assisted Communication

5. Intelligent Reflecting Surface Meets OFDM: Protocol Design and Rate Maximization

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