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

IF 9.9 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS IEEE Transactions on Industrial Informatics Pub Date : 2025-03-14 DOI:10.1109/TII.2025.3545095
Sihao Tang;Cheng Liu;Wangwang Ding;Shu Guo;Wenxuan Yao
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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 $\pm 5$ $\mu$s to grid situational awareness devices in indoor scenarios.
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在gnss挑战区域利用蜂窝网络的网格边缘设备的微秒级同步解决方案
本文介绍了一种新的同步技术,该技术利用蜂窝网络向网格边缘设备提供微秒级授时信号,在室内或城市峡谷等全球导航卫星系统受到挑战的区域提供可靠的授时解决方案。首先,对蜂窝网络中的主同步信号(PSS)进行周期性采样。然后,根据PSS在采样窗口内的位置,使用比例积分控制器精确调整定时信号的频率。这个调整过程一直持续,直到PSS的位置与无线电帧中的指定位置一致,确保定时信号与蜂窝网络同步。利用通用软件无线外设平台的B210模型开发了一个测试平台,并在各种环境下进行了大量的测试。实验结果表明,该方法可为室内场景下的网格态势感知设备提供稳定的授时信号,授时误差小于$\pm 5$ $\mu$s。
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来源期刊
IEEE Transactions on Industrial Informatics
IEEE Transactions on Industrial Informatics 工程技术-工程:工业
CiteScore
24.10
自引率
8.90%
发文量
1202
审稿时长
5.1 months
期刊介绍: The IEEE Transactions on Industrial Informatics is a multidisciplinary journal dedicated to publishing technical papers that connect theory with practical applications of informatics in industrial settings. It focuses on the utilization of information in intelligent, distributed, and agile industrial automation and control systems. The scope includes topics such as knowledge-based and AI-enhanced automation, intelligent computer control systems, flexible and collaborative manufacturing, industrial informatics in software-defined vehicles and robotics, computer vision, industrial cyber-physical and industrial IoT systems, real-time and networked embedded systems, security in industrial processes, industrial communications, systems interoperability, and human-machine interaction.
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