Clustered Sparse Bayesian Learning Based Channel Estimation for Millimeter-Wave Massive MIMO Systems-Reference-Cited by-同舟云学术

Clustered Sparse Bayesian Learning Based Channel Estimation for Millimeter-Wave Massive MIMO Systems

Published:2022-12 Issue:12 Volume:71 Page:12749-12764
ISSN:0018-9545
Container-title:IEEE Transactions on Vehicular Technology
language:
Short-container-title:IEEE Trans. Veh. Technol.

Author:

Wu Xianda¹^ORCID,Ma Shaodan²^ORCID,Yang Xi³,Yang Guanghua⁴^ORCID

Affiliation:

1. School of Electronics and Information Engineering, South China Normal University, Foshan, China

2. State Key Laboratory of Internet of Things for Smart City and the Department of Electrical and Computer Engineering, University of Macau, Taipa, Macao S.A.R., China

3. School of Communication and Electronic Engineering, East China Normal University, Shanghai, China

4. School of Intelligent Systems Science and Engineering and the Institute of Physical Internet, Jinan University, Zhuhai, China

Funder

National Natural Science Foundation of China

Science and Technology Development Fund

Research Committee of University of Macau

Natural Science Foundation of Guangdong Province

Science and Technology Project of Guangzhou

Young Scholars of South China Normal University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/25/9990993/09851198.pdf?arnumber=9851198

Reference56 articles.

1. mmWave Channel Estimation via Compressive Covariance Estimation: Role of Sparsity and Intra-Vector Correlation

2. On the Role of Sparsity and Intra-vector Correlation in mmWave Channel Estimation

3. Bayesian mmWave Channel Estimation via Exploiting Joint Sparse and Low-Rank Structures

4. Angle-Domain Aided UL/DL Channel Estimation for Wideband mmWave Massive MIMO Systems With Beam Squint

5. Wideband Channel Estimation for mmWave Massive MIMO System with Off-Grid Sparse Bayesian Learning

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