Channel Estimation and Hybrid Precoding for Millimeter Wave Communications: A Deep Learning-Based Approach

Channel Estimation and Hybrid Precoding for Millimeter Wave Communications: A Deep Learning-Based Approach

Hybrid analog and digital beamforming (HBF) has been regarded as a key technology for future millimeter wave (mmWave) communication systems due to its ability to obtain a good trade-off between achievable beamforming gain and hardware cost. In this paper, we investigate the channel estimation and hy...

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Bibliographic Details
Main Authors: Qiujin Lu, Tian Lin, Yu Zhu
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Millimeter wave (mmWave)
channel estimation
hierarchical codebook
manifold optimization (MO)
hybrid beamforming (HBF)
deep learning (DL)
Online Access:https://ieeexplore.ieee.org/document/9524679/

Internet

https://ieeexplore.ieee.org/document/9524679/

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