Comparative Study of VPE-Driven CNN Models for Radio Wave Propagation Modeling in Tunnels

IF 4.6 1区 计算机科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Siyi Huang;Shiqi Wang;Xinyue Zhang;Xingqi Zhang
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引用次数: 0

Abstract

Radio wave propagation modeling in railway environments is of fundamental importance in designing reliable train communication systems. In recent years, many machine learning (ML) techniques have been applied to accelerate the modeling process. In particular, convolutional neural networks (CNNs) have presented a superior performance in extracting features and reconstructing field distribution. However, the relevant literature is still missing a comprehensive study on CNN architecture design and the performance of different CNN models. In this article, we compare the performance of nine different CNNs, including recently developed advanced CNN techniques, for radio wave propagation modeling in tunnels. Each model is assessed in three different size variants to examine the effect of model complexity on performance. The CNN model is driven by a vector parabolic equation (VPE) channel simulator based on super-resolution. In addition, we investigate the performance of hybridizing various CNN architectures and present a CNN design roadmap for radio wave propagation modeling in tunnels. Besides, the proposed models are validated against measurement campaigns in two realistic tunnels.
隧道无线电波传播建模中vpe驱动CNN模型的比较研究
铁路环境下无线电波传播建模是设计可靠列车通信系统的基础。近年来,许多机器学习(ML)技术被应用于加速建模过程。特别是卷积神经网络(cnn)在提取特征和重建场分布方面表现出了优异的性能。然而,相关文献仍然缺乏对CNN架构设计和不同CNN模型性能的综合研究。在本文中,我们比较了九种不同CNN的性能,包括最近开发的先进CNN技术,用于隧道中的无线电波传播建模。每个模型都以三种不同大小的变量进行评估,以检查模型复杂性对性能的影响。CNN模型由基于超分辨率的矢量抛物方程(VPE)通道模拟器驱动。此外,我们研究了混合各种CNN架构的性能,并提出了用于隧道无线电波传播建模的CNN设计路线图。并在两个实际隧道中进行了实测验证。
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来源期刊
CiteScore
10.40
自引率
28.10%
发文量
968
审稿时长
4.7 months
期刊介绍: IEEE Transactions on Antennas and Propagation includes theoretical and experimental advances in antennas, including design and development, and in the propagation of electromagnetic waves, including scattering, diffraction, and interaction with continuous media; and applications pertaining to antennas and propagation, such as remote sensing, applied optics, and millimeter and submillimeter wave techniques
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