Deep Learning Based Joint Hybrid Precoding and Combining Design for mmWave MIMO Systems

To maximally enhance the hybrid precoding performance, an innovative deep learning-based optimization algorithm is given for a multiuser fully connected (MUFC) structure in this article. First, a joint optimization framework based on convolutional neural network (CNN) is suggested, namely, JOCNN, wh...

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Bibliographic Details
Published in:	IEEE systems journal Vol. 18; no. 1; pp. 560 - 567
Main Authors:	Liu, Fulai, Li, Xiaoyu, Yang, Xianghuan, Shi, Huiyang, Shi, Baozhu, Du, Ruiyan
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.03.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Artificial neural networks Convolutional neural network (CNN) Convolutional neural networks Deep learning deep learning (DL) hybrid precoding Machine learning Millimeter wave communication Millimeter waves millimeter-wave (mmWave) MIMO multiple-input multiple-output (MIMO) Neural networks Optimization Precoding Radio frequency Training Unsupervised learning
ISSN:	1932-8184, 1937-9234
Online Access:	Get full text
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