CSI Sensing From Heterogeneous User Feedbacks: A Constrained Phase Retrieval Approach-Reference-Cited by-同舟云学术

CSI Sensing From Heterogeneous User Feedbacks: A Constrained Phase Retrieval Approach

Published:2023-10 Issue:10 Volume:22 Page:6930-6945
ISSN:1536-1276
Container-title:IEEE Transactions on Wireless Communications
language:
Short-container-title:IEEE Trans. Wireless Commun.

Author:

Li Lei¹^ORCID,Zeng Xing²,Liu Ya-Feng³^ORCID,Xu Yanqing¹^ORCID,Chang Tsung-Hui¹^ORCID

Affiliation:

1. School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, China

2. Huawei Technologies Company Ltd., Shanghai, China

3. State Key Laboratory of Scientific and Engineering Computing, Institute of Computational Mathematics and Scientific/Engineering Computing, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China

Funder

Basic and Applied Basic Research Foundation of Guangdong Province

Shenzhen Science and Technology Program

National Natural Science Foundation of China (NSFC), China

Guangdong Provincial Key Laboratory of Big Data Computing

NSFC

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications

Link

http://xplorestaging.ieee.org/ielx7/7693/10275776/10056863.pdf?arnumber=10056863

Reference42 articles.

1. A Novel Quantization Method for Deep Learning-Based Massive MIMO CSI Feedback

2. An algebraic characterization of injectivity in phase retrieval

3. Deep Learning for Massive MIMO CSI Feedback

4. Stable phase retrieval with low-redundancy frames

5. An Efficient Deep Learning Framework for Low Rate Massive MIMO CSI Reporting

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