Atrous convolution neural network based hybrid precoding for mmWave MIMO systems

doi:10.1016/j.sigpro.2026.110773

2026-06-15

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DOI：10.1016/j.sigpro.2026.110773

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摘要

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• 提出了一种基于空洞卷积神经网络（ACNN）的混合预编码算法，用于全连接结构。 • 设计了混合空洞卷积（HAC）模块，以减少计算量并提取稀疏信道信息。 • 开发了自定义网络层以满足非凸恒模和功率约束。 • 相比经典卷积神经网络（CNN），计算开销降低约43%，预测精度提高25%。

Keyword:

Hybrid precoding

Atrous convolution

Deep learning

Millimeter-wave

MIMO

期刊

Signal Processing

IF:

3.6

论文数:

10.0K

被引数:

1.7W

机构

hebei key laboratory of marine perception network and data processing

学者数:

论文数: 2

被引数: 0

School of Computer Science and Engineering

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论文数: 590

被引数: 2

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