无线网络孪生中的统计信道建模方法:现状与前沿

发布时间:2023-06-26 作者:张树韬 ,薛烨,史清江,张纵辉 阅读量:

 

摘要:数字孪生作为一种全新的数据驱动范式开始赋能各行各业。本文旨在探讨数字孪生技术在无线网络中的应用,着重讨论了无线网络孪生的发展现状和无线网络孪生中最基础的数字孪生信道建模技术。针对现有数字孪生信道建模方法的不足,我们设计了一套面向无线网络的在地化统计信道建模方法,旨在实现对无线信道高效准确的数字孪生。我们还进一步搭建了可视化平台,以展示该数字孪生信道模型对特定无线网络环境大尺度多径统计特性的刻画。最后,本文展示了设计的数字孪生信道模型在5G无线网络优化中的两种典型应用。

关键词:角度功率谱;信道建模;数字孪生;网络优化;稀疏优化

 

Abstract: Digital twins have emerged as a new data-driven paradigm empowering various industries. The application of digital twin technology in wireless networks is exploded, with a focus on the development status of wireless network twinning and the most fundamental digital twin channel modeling techniques. In response to the limitations of existing digital twin channels, a localized statistical channel modeling method for wireless networks is proposed to achieve efficient and accurate digital twinning of wireless channels. Furthermore, a visualization platform is introduced to demonstrate how this digital twin channel model characterizes the large-scale multipath statistical properties of specific wireless network environments. Finally, two typical applications of the designed digital twin channel model in the optimization of 5G wireless networks are presented.

Keywords: angular power spectrum; channel modeling; digital twin; network optimization; sparse recovery

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