Next Article in Journal
Use of Bispectrum Analysis to Inspect the Non-Linear Dynamic Characteristics of Beam-Type Structures Containing a Breathing Crack
Next Article in Special Issue
A Comparative Study of 3D UE Positioning in 5G New Radio with a Single Station
Previous Article in Journal
An Overview of Optical and Electrochemical Sensors and Biosensors for Analysis of Antioxidants in Food during the Last 5 Years
Previous Article in Special Issue
Vehicular Localization Enhancement via Consensus
Article

A Highly Accurate Positioning Solution for C-V2X Systems

1
China Unicom Smart City Research Institute, Beijing 100033, China
2
School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China
*
Author to whom correspondence should be addressed.
Academic Editor: Elena Simona Lohan
Sensors 2021, 21(4), 1175; https://doi.org/10.3390/s21041175
Received: 28 December 2020 / Revised: 25 January 2021 / Accepted: 4 February 2021 / Published: 7 February 2021
Cellular vehicle-to-everything (C-V2X) is essential in enabling safe, reliable, and efficient transportation services. It serves as serve as the foundation for vehicles to communicate with each other and everything around them. One fundamental element in C-V2X is positioning, namely extracting the vehicle’s absolute and relative positions concerning other objects such as buildings, pedestrians, traffic signs, and other vehicles. However, its feasibility in enabling vehicular positioning has not been fully explored yet. In this paper, key performance indicators (KPIs) for C-V2X positioning have been described firstly. Then positioning challenges and conventional positioning methods for C-V2X are reviewed. Afterward, two user equipment (UE)-based and UE-assisted C-V2X positioning architectures are proposed, and key technologies are also described. Lastly, testing and typical application cases are provided. View Full-Text
Keywords: cellular vehicle-to-everything; vehicular positioning; feasibility and challenges; network architecture cellular vehicle-to-everything; vehicular positioning; feasibility and challenges; network architecture
Show Figures

Figure 1

MDPI and ACS Style

Liu, Q.; Liang, P.; Xia, J.; Wang, T.; Song, M.; Xu, X.; Zhang, J.; Fan, Y.; Liu, L. A Highly Accurate Positioning Solution for C-V2X Systems. Sensors 2021, 21, 1175. https://doi.org/10.3390/s21041175

AMA Style

Liu Q, Liang P, Xia J, Wang T, Song M, Xu X, Zhang J, Fan Y, Liu L. A Highly Accurate Positioning Solution for C-V2X Systems. Sensors. 2021; 21(4):1175. https://doi.org/10.3390/s21041175

Chicago/Turabian Style

Liu, Qi, Peng Liang, Junjie Xia, Ti Wang, Meng Song, Xingrong Xu, Jiachi Zhang, Yuanyuan Fan, and Liu Liu. 2021. "A Highly Accurate Positioning Solution for C-V2X Systems" Sensors 21, no. 4: 1175. https://doi.org/10.3390/s21041175

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop