Dual-Propagation-Feature Fusion Enhanced Neural CSI Compression for Massive MIMO-Reference-Cited by-同舟云学术

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Dual-Propagation-Feature Fusion Enhanced Neural CSI Compression for Massive MIMO

Published:2023-09 Issue:9 Volume:71 Page:5182-5198
ISSN:0090-6778
Container-title:IEEE Transactions on Communications
language:
Short-container-title:IEEE Trans. Commun.

Author:

Zhang Shaoqing¹^ORCID,Xu Wei¹^ORCID,Jin Shi¹^ORCID,You Xiaohu¹^ORCID,Ng Derrick Wing Kwan²^ORCID,Wang Li-Chun³^ORCID

Affiliation:

1. National Mobile Communications Research Laboratory, Southeast University, Nanjing, China

2. School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, NSW, Australia

3. Department of Electrical Computer Engineering, National Yang Ming Chiao Tung University, Hsinchu, Taiwan

Funder

National Key Research and Development Program

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

NSFC

Australian Research Council’s Discovery Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/26/10252108/10143280.pdf?arnumber=10143280

Reference55 articles.

1. 6G Massive Radio Access Networks: Key Applications, Requirements and Challenges

2. Deep affinity network for multiple object tracking;sun;IEEE Trans Pattern Anal Mach Intell,2021

3. Fast Beamforming Design via Deep Learning

4. Toward ubiquitous and intelligent 6G networks: from architecture to technology

5. A Deep Learning Framework for Optimization of MISO Downlink Beamforming

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Global-Local Features Reconstruction Network for FDD Massive MIMO CSI Feedback;IEEE Wireless Communications Letters;2024-08

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