Deep Learning-Based Precoder Design for Network Massive MIMO Transmission

We investigate the linear precoding for sum-rate maximization in network massive multiple-input multiple-output (MIMO) transmission, where the cooperative transmission by all base stations (BSs) enhances the capacity, reliability, and robustness. To address the growing complexity of traditional iter...

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Veröffentlicht in:	IEEE transactions on wireless communications S. 1
Hauptverfasser:	Zhu, Wen-Jie, Sun, Chen, Gao, Xiqi, Xia, Xiang-Gen
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	IEEE 2025
Schlagworte:	Complexity theory convolutional neural network Deep learning Iterative algorithms Massive MIMO Network massive MIMO transmission Optimization Precoding Receivers Symmetric matrices Training Vectors WMMSE precoder
ISSN:	1536-1276, 1558-2248
Online-Zugang:	Volltext
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