Study about Highly Accurate Positioning Solution for C-V2X Systems

Authors

  • Qi Liu China Unicom Smart City Research Institute, Beijing-100033, China.
  • Peng Liang China Unicom Smart City Research Institute, Beijing-100033, China.
  • Junjie Xia China Unicom Smart City Research Institute, Beijing-100033, China.
  • Chuanxin Zeng China Unicom Smart City Research Institute, Beijing-100033, China.
  • Meng Song China Unicom Smart City Research Institute, Beijing-100033, China.
  • Xingrong Xu China Unicom Smart City Research Institute, Beijing-100033, China.
  • Jiachi Zhang School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing-100044, China.
  • Yuanyuan Fan School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing-100044, China.
  • Liu Liu School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing-100044, China.

DOI:

https://doi.org/10.9734/bpi/rdst/v8/2512B

Keywords:

Cellular vehicle-to-everything, vehicular positioning, feasibility and challenges, network architecture

Abstract

This manuscript aims to study the positioning requirements, build an understanding of the positioning framework for the C-V2X system, and provide specific technologies according to the requirements and environments. Cellular vehicle-to-everything (C-V2X) is critical in allowing safe, dependable, and efficient transportation services as the foundation for vehicles to communicate with each other and everything around them. Positioning is a key component of C-V2X, which involves determining the vehicle's absolute and relative positions in relation to other objects such as buildings, pedestrians, traffic signs, and other cars. This manuscript will deeply explore the feasibility of Highly Accurate positioning for the C-V2X system. In this manuscript, Key Performance Indicators (KPIs) for C-V2X positioning will be described at the beginning. Then positioning challenges and conventional positioning methods for C-V2X like GNSS/Cellular/Sensors will be reviewed. Afterward, UE-based/UE-assisted C-V2X positioning architectures, and a series of key positioning technologies such as sidelink positioning, data fusion and synchronization will be proposed. Lastly, some testing and typical application cases will be provided.

Published

2022-06-22

How to Cite

Qi Liu, Peng Liang, Junjie Xia, Chuanxin Zeng, Meng Song, Xingrong Xu, … Liu Liu. (2022). Study about Highly Accurate Positioning Solution for C-V2X Systems. Research Developments in Science and Technology Vol. 8, 60–78. https://doi.org/10.9734/bpi/rdst/v8/2512B

Issue

Research Developments in Science and Technology Vol. 8

Section

Chapters