Ultra-accurate Ethernet time-transfer with programmable carrier-frequency based on White Rabbit solution

Autor: Javier Diaz, Felipe Torres-Gonzalez, Francisco Girela-Lopez
Rok vydání: 2017
Předmět:
Zdroj: 2017 IEEE International Symposium on Precision Clock Synchronization for Measurement, Control, and Communication (ISPCS).
DOI: 10.1109/ispcs.2017.8056745
Popis: Synchronization has become a main concern in communication and control systems during the last years. Although there are several standard mechanisms to accomplish timing requirements, development and improvement of high synchronization technologies is required to obtain better performance and quality of service. In this context, the enhanced version of IEEE 1588v2 synchronization protocol, known as White Rabbit (WR), was created to provide sub-nanosecond accuracy and a precision of few picoseconds over Ethernet optical fiber networks. However, the deployment on different distribution scenarios like Telecoms, Smart Grids or Finances makes mandatory to research the flexibility and the adaptability of this synchronization protocol. According to industry requirements, some of the future investigation lines in this field are bandwidth management and wireless deployment, maintaining the stability and the accuracy [1]. Both tasks highly depend on the system carrier-frequency, which impacts on the bandwidth and makes this solution suitable for a target scenario. In this contribution we modify the Ethernet physical layer to develop a fully programmable Ethernet reference carrier frequency. After that, we evaluate the influence of the frequency range and how it affects the clock synchronization accuracy results, obtaining the jitter results for the WR-core under different system frequencies. The study is developed on the Light Embedded Node (WR-LEN). Its firmware has been modified according to the clocking circuitry of these boards and it allows to test the WR performance over a large range of frequencies, which could be used in future applications.
Databáze: OpenAIRE