Enabling Technologies in 6G for VIoT and Autonomous Driving

This chapter explores key enabling technologies in sixth-generation (6G) communication systems for the Vehicular Internet of Things (VIoT) and autonomous driving. It focuses on ultrareliable low-latency communication (URLLC), high-precision localization, edge computing, and fog-based architectures. Each section outlines the capabilities, challenges, and potential solutions that 6G brings to the forefront of intelligent vehicular ecosystems. Furthermore, this chapter identifies existing gaps in vehicular communication networks. It emphasizes the necessity of 6G to support the next wave of automotive innovations, especially in ensuring reliability, scalability, and precision in high-mobility environments. Recent innovations, such as the wireless vehicular communication and collision avoidance system patent, provide practical insights into how integrated sensor and communication technologies can enhance autonomous driving safety and real-time responsiveness. This patent exemplifies the type of application that can greatly benefit from 6G's advanced capabilities. It provides insights into methodological approaches for integrating edge intelligence (Edge AI) and fog computing in VIoT systems. In addition, the chapter examines the broader societal and technological implications of deploying 6G in vehicular domains. It explores how 6G can bridge the latency–reliability gap currently affecting real-time vehicular applications and considers the importance of multi-access edge computing in enabling decentralized intelligence for autonomous driving. The discussion extends to cooperative localization and sensor fusion technologies, enabling vehicles to make context-aware decisions with minimal human intervention. Real-world use cases and architectural diagrams further elucidate the impact and feasibility of integrating these technologies in future smart transport ecosystems.