Microsecond-Level Synchronization Solution for Grid-Edge Devices Utilizing Cellular Networks in GNSS-Challenged Areas

This article presents a novel synchronization technique that utilizes cellular networks to deliver microsecond-level timing signals to grid-edge devices, offering a reliable timing solution in areas where Global Navigation Satellite System is challenged, such as indoors or urban canyons. First, the primary synchronization signal (PSS) from the cellular network is periodically sampled. The frequency of the timing signal is then precisely adjusted using a proportional–integral controller, based on the position of PSS within the sampling window. This adjustment process is continued until the position of PSS aligns consistently with its designated position in the radio frame, ensuring that the timing signal is synchronized with the cellular network. A test bench is developed using the B210 model of the Universal Software Radio Peripheral platform, and extensive tests are conducted in various environments. Experimental results demonstrate that the proposed method delivers stable timing signals with a timing error below <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\pm 5$</tex-math></inline-formula> <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\mu$</tex-math></inline-formula>s to grid situational awareness devices in indoor scenarios.

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Publication Details

Journal
IEEE Transactions on Industrial Informatics
Published
2025-03-14
DOI
https://doi.org/10.1109/tii.2025.3545095
Citations
2
Primary Topic
Power Line Communications and Noise
Type
article
Field-Weighted Citation Impact
1.46

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article

Microsecond-Level Synchronization Solution for Grid-Edge Devices Utilizing Cellular Networks in GNSS-Challenged Areas

Sihao Tang, Cheng Liu, Shu Guo, Wenxuan Yao et al.
2 citations
IEEE Transactions on Industrial Informatics
Power Line Communications and Noise
1.46
article

Microsecond-Level Synchronization Solution for Grid-Edge Devices Utilizing Cellular Networks in GNSS-Challenged Areas

Sihao Tang, Cheng Liu, Shu Guo, Wenxuan Yao, W. X. Ding
article en
2 citations

Abstract

This article presents a novel synchronization technique that utilizes cellular networks to deliver microsecond-level timing signals to grid-edge devices, offering a reliable timing solution in areas where Global Navigation Satellite System is challenged, such as indoors or urban canyons. First, the primary synchronization signal (PSS) from the cellular network is periodically sampled. The frequency of the timing signal is then precisely adjusted using a proportional–integral controller, based on the position of PSS within the sampling window. This adjustment process is continued until the position of PSS aligns consistently with its designated position in the radio frame, ensuring that the timing signal is synchronized with the cellular network. A test bench is developed using the B210 model of the Universal Software Radio Peripheral platform, and extensive tests are conducted in various environments. Experimental results demonstrate that the proposed method delivers stable timing signals with a timing error below <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\pm 5$</tex-math></inline-formula> <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\mu$</tex-math></inline-formula>s to grid situational awareness devices in indoor scenarios.

IEEE Transactions on Industrial InformaticsVol. 21(6)
Hunan University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Hunan Province, State Key Laboratory Of Alternate Electrical Power System With Renewable Energy Sources
Openalex Percentile: Top 19%
Power Line Communications and Noise
1.46
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Microsecond-Level Synchronization Solution for Grid-Edge Devices Utilizing Cellular Networks in GNSS-Challenged Areas — Sihao Tang, Cheng Liu, et al. · IEEE Transactions on Industrial Informatics (2025) | TGRS Research Map | TGRS