AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
Powered by AMiner. Clicking this button will take you away from SciOpen.
Home Railway Sciences Article
PDF (1,002.6 KB)
Cite
EndNote(RIS) BibTeX
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Research paper | Open Access

MPC-based time synchronization method for V2V (vehicle-to-vehicle) communication

Yong Chen1( ), Zhixian Zhan1, Wei Zhang2
School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou, China
School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou, China
Show Author Information

Abstract

Purpose

As the strategy of 5G new infrastructure is deployed and advanced, 5G-R becomes the primary technical system for future mobile communication of China’s railway. V2V communication is also an important application scenario of 5G communication systems on high-speed railways, so time synchronization between vehicles is critical for train control systems to be real-time and safe. How to improve the time synchronization performance in V2V communication is crucial to ensure the operational safety and efficiency of high-speed railways.

Design/methodology/approach

This paper proposed a time synchronization method based on model predictive control (MPC) for V2V communication. Firstly, a synchronous clock for V2V communication was modeled based on the fifth generation mobile communication-railway (5G-R) system. Secondly, an observation equation was introduced according to the phase and frequency offsets between synchronous clocks of two adjacent vehicles to construct an MPC-based space model of clock states of the adjacent vehicles. Finally, the optimal clock offset was solved through multistep prediction, rolling optimization and other control methods, and time synchronization in different V2V communication scenarios based on the 5G-R system was realized through negative feedback correction.

Findings

The results of simulation tests conducted with and without a repeater, respectively, show that the proposed method can realize time synchronization of V2V communication in both scenarios. Compared with other methods, the proposed method has faster convergence speed and higher synchronization precision regardless of whether there is a repeater or not.

Originality/value

This paper proposed an MPC-based time synchronization method for V2V communication under 5G-R. Through the construction of MPC controllers for clocks of adjacent vehicles, time synchronization was realized for V2V communication under 5G-R by using control means such as multistep prediction, rolling optimization, and feedback correction. In view of the problems of low synchronization precision and slow convergence speed caused by packet loss with existing synchronization methods, the observer equation was introduced to estimate the clock state of the adjacent vehicles in case of packet loss, which reduces the impact of clock error caused by packet loss in the synchronization process and improves the synchronization precision of V2V communication. The research results provide some theoretical references for V2V synchronous wireless communication under 5G-R technology.

Keywords

V2V communicationHigh-speed railwayMPC5G-RTime synchronization

References

 

Alfaro, C., Guzman, R., De Vicuña, L. G., Miret, J., & Castilla, M. (2022). Dual-loop continuous control set model-predictive control for a three-phase unity power factor rectifier. IEEE Transactions on Power Electronics, 37(2), 1447–1460.
Google Scholar
 
Chen, S. (2020). Research on fast time-varying characteristics of high speed rail wireless channel and key technology of channel equalization MA thesis. Beijing Jiaotong University, Beijing (in Chinese).
 

Ding, Y. (2020). Study on soft handover technology in high speed train-wayside broadband communication system. Journal of the China Railway Society, 42(7), 87–94 (in Chinese).
Google Scholar
 

Dou, Y., Li, Y., Li, H., Bao, J., & Lin, W. (2021). Isolation between vehicle-mounted antennas for 350 km·h-1 Chinese standard EMU and minimum spacing. China Railway Science, 42(1), 130–136 (in Chinese).
Google Scholar
 

Fan, D., Liu, Y., Li, X., & Chen, R. (2021). Research of high performance time keeping method based on crystal oscillator. Journal of Time and Frequency, 44(1), 26–32 (in Chinese).
Google Scholar
 

Jia, P. Y., Wang, X. B., & Zheng, K. (2020). Distributed clock synchronization based on intelligent clustering in local area industrial IoT systems. IEEE Transactions on Industrial Informatics, 16(6), 3697–3707.
Crossref Google Scholar
 
Koo, Y. C., & Mahyuddin, M. N. (2019). Time synchronization in WSAN using sliding mode and PID control. 10th International Conference on Robotics, Vision, Signal Processing and Power Applications (pp. 435–441) Singapore: Springer.
Crossref
 
Lai, W. L., Shieh, C. S., Chou, F. S., & Hsu, C. Y. (2020). Handover management for D2D communication in 5G networks. 2020 2nd International Conference on Computer Communication and the Internet (ICCCI) (pp. 64–69) New York: IEEE Press.
Crossref
 

Liu, Q., Wang, Z., & Zhao, L. (2022). Vehicle tracking optimization based on adaptive LOS guidance and MPC control. Journal of Harbin Institute of Technology, 54(1), 96–104 (in Chinese).
Google Scholar
 
Novaes, C., Freire, I., Klautau, A., & Almeida, I. (2021). Analysis of Kalman filtering for clock synchronization in PTP-unaware networks. 2021 IEEE Latin-American Conference on Communications (pp. 1–6) New York: IEEE Press.
Crossref
 

Phan, L. A., & Kim, T. (2021). Fast consensus-based time synchronization protocol using virtual topology for wireless sensor networks. IEEE Internet of Things Journal, 8(9), 7485–7496.
Crossref Google Scholar
 

Schennato, L., & Fiorentin, F. (2011). Average TimeSynch: A consensus-based protocol for clock synchronization in wireless sensor networks. Automatica, 47(9), 1878–1886.
Crossref Google Scholar
 

Seijo, Ó., López-fernández, J. A., Bernhard, H. P., & Val, I. (2020). Enhanced timestamping method for subnanosecond time synchronization in IEEE 802.11 over WLAN standard conditions. IEEE Transactions on Industrial Informatics, 16(9), 5792–5805.
Crossref Google Scholar
 

Shi, F. R., Tuo, X. G., Ran, L. L., Ren, Z. W., & Yang, S. X. (2020). Fast convergence time synchronization in wireless sensor networks based on average consensus. IEEE Transactions on Industrial Informatics, 16(2), 1120–1129.
Crossref Google Scholar
 

Shi, F. R., Tuo, X. G., Yang, S. X., Lu, J., & Li, H. L. (2020). Rapid-flooding time synchronization for large-scale wireless sensor networks. IEEE Transactions on Industrial Informatics, 16(3), 1581–1590.
Crossref Google Scholar
 
Shivaaraman, N., Schuster, P., Ramanathan, S., Easwaran, A., & Steinhorst, S. (2021). Cluster-based network time synchronization for resilience with energy efficiency. 2021 IEEE Real-Time Systems Symposium (pp. 149–161). New York: IEEE Press.
Crossref
 

Son, K. J., & Chang, T. G. (2020). Distributed nodes-based collaborative sustaining of precision clock synchronization upon master clock failure in IEEE 1588 system. Sensors, 20(20), 5784.
Crossref Google Scholar
 

Teng, L. (2021). Support for 5G-R with time synchronization architecture for railway. Railway Signalling & Communication, 57(9), 48–51, 57 (in Chinese).
Google Scholar
 

Wang, T. (2020). Key railway 5G technology analysis and development route. China Railway, 11, 1–9 (in Chinese).
Google Scholar
 

Wang, H., Chen, L. Q., Gong, P. F., & Li, M. (2020). Skew estimation based on weighted median for average consensus time synchronization in the presence of communication delay. IEEE Wireless Communications Letters, 9(9), 1384–1388.
Crossref Google Scholar
 
Wang, K., Qi, X. P., & Li, P. W. (2020). Design of high precision synchronous data acquisition system with temperature compensation. 2020 IEEE International Conference on Artificial Intelligence and Information Systems (pp. 235–238) New York: IEEE Pres.
 

Wang, P., Li, K., & Liu, Y. (2016). Application research of train control system based on train to train communication. Railway Signalling and Communication, 52(7), 62–65, 70 (in Chinese).
Google Scholar
 
Yu, Y. (2021). Research on key technologies of train-ground communication for CTCS-3 train control service based on 5G-R. Beijing: Beijing Jiaotong University (in Chinese).
 

Zhang, P., Xue, H., & Gao, S. (2020). Distributed adaptive fault-tolerance consensus control for multi-agent system. Acta Aeronautica et Astronautica Sinica, 41(3), 323539 (in Chinese).
Google Scholar
 

Zhang, W., Wu, W., Teng, Y., Gong, P., & Tang, Y. (2022). Moving-base unmanned underwater vehicles docking control based on satisfactory model predictive control with constrained conditions. Journal of Harbin Engineering University, 2022(1), 1–12 (in Chinese).
Google Scholar
 
Zhou, H. (2021). Research on network inspection system of 5G-R MA thesis. China Academy of Railway Sciences, Beijing (in Chinese).
Railway Sciences
Volume 2 Issue 1,
April 2023
Pages 101-120
DOI: 10.1108/RS-01-2023-0002
Cite this article:
Chen Y, Zhan Z, Zhang W. MPC-based time synchronization method for V2V (vehicle-to-vehicle) communication. Railway Sciences, 2023, 2(1): 101-120. https://doi.org/10.1108/RS-01-2023-0002

163

Views

6

Downloads

1

Crossref

Altmetrics
Received: 20 January 2023
Revised: 06 February 2023
Accepted: 06 February 2023
Published: 31 March 2023
© Yong Chen, Zhixian Zhan and Wei Zhang. Published in Railway Sciences.

This article is published under the Creative Commons Attribution (CC BY 4.0) licence. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this licence may be seen at http://creativecommons.org/licences/by/4.0/legalcode
Return