TAP: A High-Precision Network Timing Method Over Air Interface Based on Physical-Layer Signals

Zhang, Chenyu; Zheng, Wei; Wang, Zhengying

doi:10.1109/access.2019.2958114

Cited by 15 publications

(3 citation statements)

References 39 publications

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“…e decimeter-level example experiment shows that the platform can support 1 million users and has good compatibility and scalability (Sun et al) [6]. Zhang et al proposed using big data processing technology to optimize network information transmission, completed the construction of online social network connection prediction model, which can greatly improve the efficiency of data transmission [7]. Kwangjae et al proposed SKPF algorithm.…”

Section: Related Workmentioning

confidence: 99%

Regional Double-Layer, High-Precision Indoor Positioning System Based on iBeacon Network

Zhang

Wang

et al. 2022

Mathematical Problems in Engineering

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With the development of modern society, the demand for indoor positioning technology is higher and higher. The existing indoor positioning technology is difficult to really solve the problem of accuracy and achieve high-performance indoor positioning system design. Based on iBeacon equipment, this paper proposes a method to optimize received signal strength indication indoor positioning algorithm by using the Gaussian filtering method so as to reduce the adverse impact of multipath fading in indoor environment. In order to further improve the accuracy of indoor positioning algorithm, the stack automatic encoder in the deep neural network algorithm is introduced. Through the deep learning method, the high-dimensional information of the fingerprint database collected by the system can be extracted and the adverse impact of data noise on the database is also reduced. Through the simulation test of the system, it can be seen that the error of received signal strength indication indoor positioning algorithm based on extended Gaussian filter is small. Compared with the traditional iBeacon algorithm, the improved algorithm can achieve better data classification. The maximum error of the whole system is 1.02 M. Comprehensive analysis shows that the proposed indoor positioning system has a certain practical value and can be applied to the indoor positioning needs in a certain range of environment.

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Section: Related Workmentioning

confidence: 99%

Regional Double-Layer, High-Precision Indoor Positioning System Based on iBeacon Network

Zhang

Wang

et al. 2022

Mathematical Problems in Engineering

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“…Time Sensitive Networking (TSN) requiring stable time references is also expected to be increasingly implemented to provide deterministic latency in data transmissions for control applications and wireless communications in industrial networks [14], [15]. New features for telecom networks were inspired by this technology, as the traffic shaping capabilities in the fronthaul network defined in the Common Public Radio Interface (CPRI) specification for the eCPRI protocol [16].…”

Section: Introductionmentioning

confidence: 99%

IEEE 1588 High Accuracy Default Profile: Applications and Challenges

et al. 2020

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Highly accurate synchronization has become a major requirement because of the rise of distributed applications, regulatory requests and position, navigation and timing backup needs. This fact has led to the development of new technologies which fulfill the new requirements in terms of accuracy and dependability. Nevertheless, some of these novel proposals have lacked determinism, robustness, interoperability, deployability, scalability or management tools preventing them to be extensively used in real industrial scenarios. Different segments require accurate timing information over a large number of nodes. Due to the high availability and low price of global satellite-based time references, many critical distributed facilities depend on them. However, the vulnerability to jamming or spoofing represents a well-known threat and backup systems need to be deployed to mitigate it. The recently approved draft standard IEEE 1588-2019 includes the High Accuracy Default Precision Time Protocol Profile which is intensively based on the White Rabbit protocol. White Rabbit is an extension of current IEEE 1588-2008 network synchronization protocol for sub-nanosecond synchronization. This approach has been validated and intensively used during the last years. This paper revises the pre-standard protocol to expose the challenges that the High Accuracy profile will find after its release and covers existing applications, promising deployments and the technological roadmap, providing hints and an overview of features to be studied. The authors review different issues that have prevented the industrial adoption of White Rabbit in the past and introduce the latest developments that will facilitate the next IEEE 1588 High Accuracy extensive adoption. INDEX TERMS GPS backup, high accuracy profile, IEEE 1588, time dissemination, precision time protocol, PTP, white rabbit.

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“…The Third Generation (3G) and Long Term Evolution (LTE) mobile systems [21] demand high accurate time synchronization in the microsecond scale for the different neighboring base station as stated in [22]. Timing can be provided by wired, usually optical fiber [23], or radio interfaces as in [24]. A simple solution consists on deploying GNSS receivers connected to each base station.…”

Section: Introductionmentioning

confidence: 99%

10 Gigabit White Rabbit: Sub-Nanosecond Timing and Data Distribution

et al. 2020

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Time synchronization is a critical feature for many scientific facilities and industrial infrastructures. The required performance is progressively increasing everyday, for instance, few tens of nanoseconds for Fifth Generation (5G) networks or sub-nanosecond accuracy on next family of particle accelerators and astrophysics telescopes. Due to this exigent accuracy, many applications require specific timing dedicated networks, increasing the system cost and complexity. Under this context, the new IEEE 1588-2019 High Accuracy (HA) default profile is intensively based on White Rabbit (WR) which can provide sub-nanosecond accurate synchronization for Ethernet networks. However, current WR solutions have not been designed to work properly with high data bandwidth delivery services even in 1 Gigabit Ethernet (GbE) links. On this contribution, the authors propose a new architecture design that enables WR and, consequently, the IEEE 1588-2019 HA profile to be deployed over 10 GbE links solving the already identified data bandwidth problem. Furthermore, this work addresses different experiments needed to characterize the system performance in terms of time synchronization and data transfer. As final result, this contribution presents for the first time in the literature a new WR system which allows high bandwidth data exchange in 10 GbE networks while providing sub-nanosecond accuracy synchronization. The proposed solution maintains the time synchronization performance of existing WR 1 GbE devices with significant advantages in terms of latency and data bandwidth, enabling its deployment in applications that integrate data and synchronization information in the same network.

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TAP: A High-Precision Network Timing Method Over Air Interface Based on Physical-Layer Signals

Cited by 15 publications

References 39 publications

Regional Double-Layer, High-Precision Indoor Positioning System Based on iBeacon Network

Regional Double-Layer, High-Precision Indoor Positioning System Based on iBeacon Network

IEEE 1588 High Accuracy Default Profile: Applications and Challenges

10 Gigabit White Rabbit: Sub-Nanosecond Timing and Data Distribution

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