Research and verification of time synchronization collaboration methods for 5G and industrial networks

Seamless integration of 5G and industrial networks requires enhanced transmission performance to meet the stringent timing accuracy and ultra-low latency demands of industrial systems. Presently, 5G and industrial systems operate with inconsistent time synchronization protocols, lacking a unified deployment strategy. This disjointed approach may lead to synchronization discrepancies, potentially compromising system stability and control precision. Hence, there is a pressing need to develop cross-system time synchronization schemes to ensure effective and dependable operations in forthcoming smart manufacturing scenarios. This study investigates the necessity and methodology for time synchronization collaboration in co-deployed 5G and industrial systems. It presents a collaborative time synchronization framework between 5G and industrial networks based on dwell time calibration and hop-by-hop time recovery, and validated the effectiveness of the framework through empirical experiments. Simulation tests in a laboratory environment demonstrate that the proposed scheme yields end-to-end clock deviation at the scale of hundreds of nanoseconds, thereby maintaining system-wide stability at an acceptable level. These findings confirm that the framework significantly improves time synchronization performance of 5G networks in industrial settings, enabling more stable and efficient system operations.

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Publication Details

Journal
IET conference proceedings.
Published
2025-10-13
DOI
https://doi.org/10.1049/icp.2025.2904
Citations
1
Primary Topic
Network Time Synchronization Technologies
Type
article
Field-Weighted Citation Impact
1.49
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article

Research and verification of time synchronization collaboration methods for 5G and industrial networks

Xi Chen, Jie Chen, Jinyu Zhu
1 citations
IET conference proceedings.
Network Time Synchronization Technologies
1.49
article

Research and verification of time synchronization collaboration methods for 5G and industrial networks

Xi Chen, Jie Chen, Jinyu Zhu
article en
1 citations

Abstract

Seamless integration of 5G and industrial networks requires enhanced transmission performance to meet the stringent timing accuracy and ultra-low latency demands of industrial systems. Presently, 5G and industrial systems operate with inconsistent time synchronization protocols, lacking a unified deployment strategy. This disjointed approach may lead to synchronization discrepancies, potentially compromising system stability and control precision. Hence, there is a pressing need to develop cross-system time synchronization schemes to ensure effective and dependable operations in forthcoming smart manufacturing scenarios. This study investigates the necessity and methodology for time synchronization collaboration in co-deployed 5G and industrial systems. It presents a collaborative time synchronization framework between 5G and industrial networks based on dwell time calibration and hop-by-hop time recovery, and validated the effectiveness of the framework through empirical experiments. Simulation tests in a laboratory environment demonstrate that the proposed scheme yields end-to-end clock deviation at the scale of hundreds of nanoseconds, thereby maintaining system-wide stability at an acceptable level. These findings confirm that the framework significantly improves time synchronization performance of 5G networks in industrial settings, enabling more stable and efficient system operations.

IET conference proceedings.Vol. 2025(23)
Beijing University of Posts and Telecommunications (CN), Beijing Electronic Science and Technology Institute (CN), China Academy of Information and Communications Technology (CN), China Telecom (China) (CN), Ministry of Industry and Information Technology (CN)
Openalex Percentile: Top 12%
Network Time Synchronization Technologies
1.49
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Research and verification of time synchronization collaboration methods for 5G and industrial networks — Xi Chen, Jie Chen, et al. · IET conference proceedings. (2025) | TGRS Research Map | TGRS