Multifrequency Wireless Channel Measurements and Characterization in Indoor Industrial Scenario

Millimeter-wave (mmWave) and terahertz (THz) communication technologies have great application prospects in the Industrial Internet of Things (IIoT). However, the channels in industrial scenarios have not been fully investigated at multifrequency bands and in multiscenarios by using the same channel configurations, especially for the frequency ranges from mmWave to THz. In this article, channel measurements are conducted at 28, 38, 132, and 220 GHz in four industrial scenarios. The channel characteristics are extracted and modeled, including path loss, K factor, root mean square (RMS) delay spread, and angular spread (AS), and the correlation between K factor, RMS AS, and distance across the different frequencies in different scenarios. Specifically, we have extended the close-in path loss model to depict the excess loss caused by metal scatterers and modified AS model in the Third Generation Partnership Project (3GPP). Furthermore, cluster-level parameters at different frequencies are presented in our work. The results demonstrate that channel characteristics exhibit frequency dependence under the same measurement configuration. This study provides valuable guidance for the design and optimization of IIoT and contributes to the standardization process of 3GPP.

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Publication Details

Journal
IEEE Internet of Things Journal
Published
2024-08-21
DOI
https://doi.org/10.1109/jiot.2024.3447082
Citations
5
Primary Topic
Millimeter-Wave Propagation and Modeling
Type
article
Field-Weighted Citation Impact
1.04

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article

Multifrequency Wireless Channel Measurements and Characterization in Indoor Industrial Scenario

Xi Liao, Yang Wang, Chenxu Wang, Xiangquan Zheng et al.
5 citations
IEEE Internet of Things Journal
Millimeter-Wave Propagation and Modeling
1.04
article

Multifrequency Wireless Channel Measurements and Characterization in Indoor Industrial Scenario

Xi Liao, Yang Wang, Chenxu Wang, Xiangquan Zheng, Xinyu Hao
article en
5 citations

Abstract

Millimeter-wave (mmWave) and terahertz (THz) communication technologies have great application prospects in the Industrial Internet of Things (IIoT). However, the channels in industrial scenarios have not been fully investigated at multifrequency bands and in multiscenarios by using the same channel configurations, especially for the frequency ranges from mmWave to THz. In this article, channel measurements are conducted at 28, 38, 132, and 220 GHz in four industrial scenarios. The channel characteristics are extracted and modeled, including path loss, K factor, root mean square (RMS) delay spread, and angular spread (AS), and the correlation between K factor, RMS AS, and distance across the different frequencies in different scenarios. Specifically, we have extended the close-in path loss model to depict the excess loss caused by metal scatterers and modified AS model in the Third Generation Partnership Project (3GPP). Furthermore, cluster-level parameters at different frequencies are presented in our work. The results demonstrate that channel characteristics exhibit frequency dependence under the same measurement configuration. This study provides valuable guidance for the design and optimization of IIoT and contributes to the standardization process of 3GPP.

IEEE Internet of Things JournalVol. 11(23)
Chongqing University of Posts and Telecommunications (CN), PLA Academy of Military Science (CN)
National Natural Science Foundation of China, Natural Science Foundation of Chongqing
Openalex Percentile: Top 23%
Millimeter-Wave Propagation and Modeling
1.04
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Multifrequency Wireless Channel Measurements and Characterization in Indoor Industrial Scenario — Xi Liao, Yang Wang, et al. · IEEE Internet of Things Journal (2024) | TGRS Research Map | TGRS