IIoT Network Planning and Coverage Analysis Considering Blockage Effects

Industrial internet of things (IIoT) is a promising scenario for industry applications, where the existence of rich blockages can affect the communication quality and is worth consideration when it comes to network planning. In this paper, a tractable model based on stochastic geometry is proposed to provide coverage analysis for IIoT networks, in which blockage effects are considered. The line-of-sight (LoS) probability, the association between devices and access points (APs), and the effects of interference are analyzed. As a result, the coverage probability is derived to assess the network performance and is verified through Monte Carlo simulations. The effects of AP density, blockage attenuation, blockage density, blockage height, and AP height on coverage probability are presented through numerical simulations, providing a guideline for AP deployment.

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Published
2024-10-24
DOI
https://doi.org/10.1109/wcsp62071.2024.10826944
Primary Topic
ICT Impact and Policies
Type
article
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article

IIoT Network Planning and Coverage Analysis Considering Blockage Effects

Fu‐Chun Zheng, Yinghua Wang, Songjiang Yang, Jie Huang et al.
ICT Impact and Policies
article

IIoT Network Planning and Coverage Analysis Considering Blockage Effects

Fu‐Chun Zheng, Yinghua Wang, Songjiang Yang, Jie Huang, Cheng‐Xiang Wang, Jingyu Lyu
article en

Abstract

Industrial internet of things (IIoT) is a promising scenario for industry applications, where the existence of rich blockages can affect the communication quality and is worth consideration when it comes to network planning. In this paper, a tractable model based on stochastic geometry is proposed to provide coverage analysis for IIoT networks, in which blockage effects are considered. The line-of-sight (LoS) probability, the association between devices and access points (APs), and the effects of interference are analyzed. As a result, the coverage probability is derived to assess the network performance and is verified through Monte Carlo simulations. The effects of AP density, blockage attenuation, blockage density, blockage height, and AP height on coverage probability are presented through numerical simulations, providing a guideline for AP deployment.

Purple Mountain Laboratories (CN), Southeast University (CN)
National Natural Science Foundation of China, Southeast University, Key Technologies Research and Development Program, Fundamental Research Funds for the Central Universities, National Mobile Communications Research Laboratory, Southeast University
Climate action
Openalex Percentile: Top 62%
ICT Impact and Policies
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IIoT Network Planning and Coverage Analysis Considering Blockage Effects — Fu‐Chun Zheng, Yinghua Wang, et al. · (2024) | TGRS Research Map | TGRS