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面向工业物联网的318 GHz太赫兹信道中主簇与随机簇的统计分析

Statistical Analysis of Primary and Random Clusters in 318 GHz Terahertz Channels for Industrial IoT

Siyuan Shao, Peize Zhang, Pekka Kyösti, Trung Q. Duong, Simon L. Cotton

arXiv 2608.25634首次发表:更新:

AI 中文总结

本文针对工业物联网场景,对318 GHz太赫兹信道的主簇与随机簇开展统计分析,提出新聚类方案,明确强反射对大尺度参数的主导影响,为太赫兹随机信道建模提供支持。

AI 中文摘要

太赫兹(THz)通信所实现的超高速数据速率,为满足工业物联网(IIoT)应用的严苛要求铺平了道路,这使得工业环境中THz信道的研究成为关键课题。本文对工业环境下318 GHz的传播信道开展了全面统计分析,针对实测信道多径分量(MPCs)中存在的稀疏性,提出了一种新的聚类方案;此外,在丰富散射环境中,将强反射组定义为主簇、其他传播现象定义为随机簇,分别开展统计分析。结果表明,大尺度参数主要受这些强反射影响,本研究为后续THz随机信道建模提供了可靠支持与指导。

英文摘要

The ultra-high data rates enabled by terahertz (THz) communications pave the way for the demanding requirements of industrial Internet of Things (IIoT) applications, making the investigation of THz channels in industrial environments a critical research topic. This paper presents a comprehensive statistical analysis of the propagation channel at 318\,GHz in an industrial environment. In particular, a new clustering scheme is proposed for the sparsity observed in the multipath components (MPCs) of the measured channel. Furthermore, statistical analyses are conducted separately for the group of strong reflections, defined as primary clusters, and other propagation phenomena, defined as random clusters, in a rich-scattering environment. The results demonstrate that the large-scale parameters are predominantly influenced by these strong reflections. This study provides reliable support and guidance for subsequent THz stochastic channel modeling.

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