Welcome to Journal of Automotive Safety and Energy,

Journal of Automotive Safety and Energy ›› 2024, Vol. 15 ›› Issue (6): 943-951.DOI: 10.3969/j.issn.1674-8484.2024.06.016

• Intelligent Driving and Intelligent Transportation • Previous Articles     Next Articles

C-V2X mode 4 performance analysis considering noise and hidden terminals in high-load scenarios

DOU Zufang1(), WANG Peng1(), YANG Qiaoli1, YANG Xijuan2   

  1. 1. School of Automation and Electrical Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China
    2. School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou 730070,China
  • Received:2023-08-17 Revised:2024-04-02 Online:2024-12-31 Published:2025-01-01

Abstract:

A data transmission analysis model, which took into account random noise, random shadow fading and hidden terminal, was proposed to further explore the data transmission performance of Cellular Vehicle-to-Everything (C-V2X) mode 4 in high-load scenarios. Firstly, a double random signal-to-noise ratio and signal-to-interference-to-noise ratio model was established, and the Cauchy distribution was used to solve the model. Secondly, the analytical formulas of four typical error probabilities in the process of data transmission were derived, and the coupling relationship between noise, shadow fading and data conflict was revealed. Thirdly, based on the four error types, the packet delivery ratio analytical model integrating noise, shadow fading and hidden terminal influence was further constructed. Finally, numerical simulations were used to analyze the key parameters affecting communication efficiency, and the influence of each parameter on packet delivery ratio was discussed. The results show that the packet delivery ratio (PDR) is reduced by 16.7% compared with the previous literature in the environment of high noise, high moving speed and high load, which verifies the adverse effects of random noise and hidden terminals on communication.

Key words: cellular vehicle-to-everything (C-V2X) mode, double random signal-to-noise model, Cauchy distribution, packet delivery ratio (PDR)

CLC Number: