Hybrid Beamforming for MISO System via Convolutional Neural Network

Hybrid Beamforming for MISO System via Convolutional Neural Network

Hybrid beamforming (HBF) is a promising approach to obtain a better balance between hardware complexity and system performance in massive MIMO communication systems. However, the HBF optimization problem is a challenging task due to its nonconvex property in terms of design complexity and spectral e...

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Bibliographic Details
Main Authors: Teng Zhang, Anming Dong, Chuanting Zhang, Jiguo Yu, Jing Qiu, Sufang Li, You Zhou
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Electronics
Subjects:
convolutional neural network
deep learning
hybrid beamforming
massive multiple-input multiple-output (MIMO)
spectral efficiency
Online Access:https://www.mdpi.com/2079-9292/11/14/2213

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https://www.mdpi.com/2079-9292/11/14/2213

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