Research on Base Station Location Select Method for Multi-type Terminal Scenarios in 5G Industrial Private Network

At present, 5G technology as an important technology to support the upgrade of industrial be wireless, and the organic integration of industrial applications will further stimulate the innovation vitality of the industrial community. However, with the development of mobile edge computing that relies on high throughput data transmission such as video streaming and the gradual emergence of smart industrial parks, the existing related work oriented to fixed terminals can no longer meet the needs of smart manufacturing scenarios, which poses a new challenge to the base station deployment method for industrial private networks characterized by the presence of dynamic terminals. This paper takes the industrial private network as the research object, proposes an improved throughput calculation model for dynamic terminals in industrial scenarios, through the channel parameters measured in the real industrial zone, combined with the known paths of dynamic terminals, to quantify the impact of non-uniform medium on signal quality in industrial scenes. On this basis, according to the characteristics of the scene where there are multiple types of dynamic and static mixed terminals, combined with the signal loss of the path of the mobile terminals, to establish a throughput calculation model oriented to the industrial scene; Finally, with the objective of optimal signal quality at terminals, we establish an optimization model for the deployment of base station locations in industrial private networks applicable to large-scale machine communication scenarios and solve the optimal site selection results.

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Publication Details

Published
2024-09-23
DOI
https://doi.org/10.1109/icedcs64328.2024.00154
Citations
1
Primary Topic
E-commerce and Technology Innovations
Type
article
Field-Weighted Citation Impact
0.68

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Research on Base Station Location Select Method for Multi-type Terminal Scenarios in 5G Industrial Private Network

Kui Zhang, Luo Zhao, Junfeng Zhu, Runze Zhao et al.
1 citations
E-commerce and Technology Innovations
0.68
article

Research on Base Station Location Select Method for Multi-type Terminal Scenarios in 5G Industrial Private Network

Kui Zhang, Luo Zhao, Junfeng Zhu, Runze Zhao, Haowen Yin
article en
1 citations

Abstract

At present, 5G technology as an important technology to support the upgrade of industrial be wireless, and the organic integration of industrial applications will further stimulate the innovation vitality of the industrial community. However, with the development of mobile edge computing that relies on high throughput data transmission such as video streaming and the gradual emergence of smart industrial parks, the existing related work oriented to fixed terminals can no longer meet the needs of smart manufacturing scenarios, which poses a new challenge to the base station deployment method for industrial private networks characterized by the presence of dynamic terminals. This paper takes the industrial private network as the research object, proposes an improved throughput calculation model for dynamic terminals in industrial scenarios, through the channel parameters measured in the real industrial zone, combined with the known paths of dynamic terminals, to quantify the impact of non-uniform medium on signal quality in industrial scenes. On this basis, according to the characteristics of the scene where there are multiple types of dynamic and static mixed terminals, combined with the signal loss of the path of the mobile terminals, to establish a throughput calculation model oriented to the industrial scene; Finally, with the objective of optimal signal quality at terminals, we establish an optimization model for the deployment of base station locations in industrial private networks applicable to large-scale machine communication scenarios and solve the optimal site selection results.

China Electronics Technology Group Corporation (CN)
National Natural Science Foundation of China
Industry, innovation and infrastructure
Openalex Percentile: Top 21%
E-commerce and Technology Innovations
0.68
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Research on Base Station Location Select Method for Multi-type Terminal Scenarios in 5G Industrial Private Network — Kui Zhang, Luo Zhao, et al. · (2024) | TGRS Research Map | TGRS