Multi-Frequency Channel Measurement in Smart Factories: Comparative Analysis with 3GPP InF Scenarios*

Smart factory scenarios in the Industrial Internet of Things (IIoT) introduce novel challenges to wireless communication, characterized by large-scale device interaction, strong reflection, and dense scattering, diverging from typical factories. To ascertain the channel disparities between smart factories and typical factories, we analyze channel characteristics across sub-6 GHz (e.g., 6 GHz) and mmWave frequencies (e.g., 28 and 39 GHz) in smart factory scenarios, establishing a multi-frequency path loss model. Furthermore, the comparison between the large-scale fading characteristics, including path loss and root mean square delay spread (RMS DS), observed in smart factory scenarios and those in the typical indoor factory (InF) scenarios defined by the 3rd-Generation Partnership Project (3GPP). Additionally, channel characteristics of the metal and non-metal scatterer areas in the smart factories are extracted to analyze the impact of metal scatterers on angle spread (AS) and RMS DS.

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Publication Details

Published
2024-10-07
DOI
https://doi.org/10.1109/vtc2024-fall63153.2024.10757555
Citations
2
Primary Topic
Advanced MIMO Systems Optimization
Type
article
Field-Weighted Citation Impact
0.42

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article

Multi-Frequency Channel Measurement in Smart Factories: Comparative Analysis with 3GPP InF Scenarios*

Huiwen Gong, Jialin Wang, Yuxiang Zhang, Jianhua Zhang et al.
2 citations
Advanced MIMO Systems Optimization
0.42
article

Multi-Frequency Channel Measurement in Smart Factories: Comparative Analysis with 3GPP InF Scenarios*

Huiwen Gong, Jialin Wang, Yuxiang Zhang, Jianhua Zhang, Yameng Liu, Quan Mo, Zeyong Chai
article en
2 citations

Abstract

Smart factory scenarios in the Industrial Internet of Things (IIoT) introduce novel challenges to wireless communication, characterized by large-scale device interaction, strong reflection, and dense scattering, diverging from typical factories. To ascertain the channel disparities between smart factories and typical factories, we analyze channel characteristics across sub-6 GHz (e.g., 6 GHz) and mmWave frequencies (e.g., 28 and 39 GHz) in smart factory scenarios, establishing a multi-frequency path loss model. Furthermore, the comparison between the large-scale fading characteristics, including path loss and root mean square delay spread (RMS DS), observed in smart factory scenarios and those in the typical indoor factory (InF) scenarios defined by the 3rd-Generation Partnership Project (3GPP). Additionally, channel characteristics of the metal and non-metal scatterer areas in the smart factories are extracted to analyze the impact of metal scatterers on angle spread (AS) and RMS DS.

Beijing University of Posts and Telecommunications (CN)
National Natural Science Foundation of China, National Science Fund for Distinguished Young Scholars
Openalex Percentile: Top 35%
Advanced MIMO Systems Optimization
0.42
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