mlsanityData to 14 Oct 2026

A Vision of C-V2X: Technologies, Field Testing and Challenges with Chinese Development

arXiv 2002.08736 ↗First posted 20 Feb 2020eess.SP cs.NIcited by 11

Not on the map. Why?

Abstract (arXiv)

C-V2X (Cellular Vehicle-to-Everything) is the important enabling technology for autonomous driving and intelligent transportation systems. It evolves from LTE (Long Term Evolution)-V2X to NR (New Radio)-V2X, which will coexist and be complementary with each other to provide low latency, high reliability, and high throughput communications for various C-V2X applications. In this article, a vision of C-V2X is presented. The requirements of the basic road safety and advanced applications, the architecture, the key technologies, and the standards of C-V2X are introduced, highlighting the technical evolution path from LTE-V2X to NR-V2X. Especially, based on the continual and active promotion of C-V2X research, field testing and development in China, the related works and progresses are also presented. Lastly, the trends of C-V2X applications with technical challenges are envisioned.

Key facts. Cited by 11 papers in the map (data through 14 Oct 2026). First posted on arXiv 20 Feb 2020.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2022: 1; 2023: 4; 2024: 3; 2025: 2; 2026: 1.

11 papers.

  1. 2023UMC: A Unified Bandwidth-efficient and Multi-resolution based Collaborative Perception Frameworkcited by 29
  2. 2023Milestones in Autonomous Driving and Intelligent Vehicles Part I: Control, Computing System Design, Communication, HD Map, Testing, and Human Behaviorscited by 25
  3. 2023Vehicle-to-Everything Cooperative Perception for Autonomous Drivingcited by 15
  4. 2024Deep-Reinforcement-Learning-Based AoI-Aware Resource Allocation for RIS-Aided IoV Networkscited by 13
  5. 2024Importance-Aware Image Segmentation-based Semantic Communication for Autonomous Drivingcited by 7
  6. 2022Cooperative Multi-Agent Deep Reinforcement Learning for Reliable and Energy-Efficient Mobile Access via Multi-UAV Controlcited by 5
  7. 2025Task-Driven Semantic Quantization and Imitation Learning for Goal-Oriented Communicationscited by 3
  8. 2023MSight: An Edge-Cloud Infrastructure-based Perception System for Connected Automated Vehiclescited by 1
  9. 2024Unified End-to-End V2X Cooperative Autonomous Drivingcited by 1
  10. 2025Foundation Model-Based Adaptive Semantic Image Transmission for Dynamic Wireless Environmentscited by 0
  11. 2026From Virtual Environments to Real-World Trials: Emerging Trends in Autonomous Drivingcited by 0