6G Cellular Networks and Connected Autonomous Vehicles
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Abstract (arXiv)
With 5G mobile communication systems been commercially rolled out, research discussions on next generation mobile systems, i.e., 6G, have started. On the other hand, vehicular technologies are also evolving rapidly, from connected vehicles as coined by V2X (vehicle to everything) to autonomous vehicles to the combination of the two, i.e., the networks of connected autonomous vehicles (CAV). How fast the evolution of these two areas will go head-in-head is of great importance, which is the focus of this paper. Based on a brief overview on the technological evolution of V2X to CAV and 6G key technologies, this paper explores two complementary research directions, namely, 6G for CAVs versus CAVs for 6G. The former investigates how various 6G key enablers, such as THz, cell free communication and artificial intelligence (AI), can be utilized to provide CAV mission-critical services. The latter discusses how CAVs can facilitate effective deployment and operation of 6G systems. This paper attempts to investigate the interactions between the two technologies to spark more research efforts in these areas.
Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). First posted on arXiv 2 Oct 2020.
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Citing papers per year: 2021: 1; 2022: 0; 2023: 2; 2024: 2; 2025: 1; 2026: 1.
7 papers.
- 2023A Survey on Approximate Edge AI for Energy Efficient Autonomous Driving Servicescited by 14
- 2021Applications of Explainable AI for 6G: Technical Aspects, Use Cases, and Research Challengescited by 5
- 2024Time-Series JEPA for Predictive Remote Control under Capacity-Limited Networkscited by 5
- 2023Magmaw: Modality-Agnostic Adversarial Attacks on Machine Learning-Based Wireless Communication Systemscited by 1
- 2024Testing Large Language Models on Driving Theory Knowledge and Skills for Connected Autonomous Vehiclescited by 1
- 2026Towards Resilient and Autonomous Networks: A BlueSky Vision on AI-Native 6Gcited by 1
- 2025Connectivity Management in Satellite-Aided Vehicular Networks with Multi-Head Attention-Based State Estimationcited by 0
- 2026Towards Resilient and Autonomous Networks: A BlueSky Vision on AI-Native 6G20 May 2026
- 2025Connectivity Management in Satellite-Aided Vehicular Networks with Multi-Head Attention-Based State Estimation1 Aug 2025
- 2024Testing Large Language Models on Driving Theory Knowledge and Skills for Connected Autonomous Vehicles24 Jul 2024
- 2024Time-Series JEPA for Predictive Remote Control under Capacity-Limited Networks7 Jun 2024
- 2023Magmaw: Modality-Agnostic Adversarial Attacks on Machine Learning-Based Wireless Communication Systems1 Nov 2023
- 2023A Survey on Approximate Edge AI for Energy Efficient Autonomous Driving Services13 Apr 2023
- 2021Applications of Explainable AI for 6G: Technical Aspects, Use Cases, and Research Challenges9 Dec 2021