Deep Learning for Joint Design of Pilot, Channel Feedback, and Hybrid Beamforming in FDD Massive MIMO-OFDM Systems-Reference-Cited by-同舟云学术

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Deep Learning for Joint Design of Pilot, Channel Feedback, and Hybrid Beamforming in FDD Massive MIMO-OFDM Systems

Published:2023 Issue: Volume: Page:1-1
ISSN:1089-7798
Container-title:IEEE Communications Letters
language:
Short-container-title:IEEE Commun. Lett.

Author:

Yang Junyi¹^ORCID,Zhu Weifeng²^ORCID,Sun Shu¹^ORCID,Li Xiaofeng³,Lin Xingqin⁴,Tao Meixia¹^ORCID

Affiliation:

1. Department of Electronic Engineering and the Cooperative Medianet Innovation Center (CMIC), Shanghai Jiao Tong University, Shanghai, China

2. Department of Electrical and Electronic Engineering, The Hong Kong Polytechnic University, Hong Kong, SAR, China

3. Intel Corporation, Santa Clara, CA, USA

4. Nvidia Corporation, Santa Clara, CA, USA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Modeling and Simulation

Link

http://xplorestaging.ieee.org/ielx7/4234/5534602/10356134.pdf?arnumber=10356134

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. Bayesian Hierarchical Sparse Autoencoder for Massive MIMO CSI Feedback;IEEE Transactions on Signal Processing;2024

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