PCQNet: A Trainable Feedback Scheme of Precoder for the Uplink Multi-User MIMO Systems

Multi-user multiple-input multiple-output (MU-MIMO) technology can significantly improve the spectral and energy efficiencies of wireless networks. In the uplink MU-MIMO systems, the optimal precoder design at the base station utilizes the Lagrange multipliers method and the centralized iterative al...

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Bibliographic Details
Published in:	Entropy (Basel, Switzerland) Vol. 24; no. 8; p. 1066
Main Authors:	Bao, Xiuwen, Jiang, Ming, Fang, Wenhao, Zhao, Chunming
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.08.2022 MDPI
Subjects:	Compression ratio Control convolutional neural networks (CNNs) Decomposition Deep learning Design and construction Efficiency Error analysis Feedback Feedback control systems Iterative algorithms Iterative methods joint transceiver design Lagrange multiplier limited feedback precoding Machine learning Methods MIMO MIMO communication MIMO communications MMSE receivers Neural networks Optimization Performance degradation Sensors Technology application uplink precoding Uplinking Wireless networks China
ISSN:	1099-4300, 1099-4300
Online Access:	Get full text
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