Autonomous vehicles are expected to emerge as a main trends in vehicle development over the next decade. To support autonomous vehicles, ultra-reliable low-latency communications (URLLC) is required between autonomous vehicles and infrastructure networks, e.g., a fifth-generation (5G) cellular networks. Hence, reliability and latency must be jointly investigated in 5G autonomous vehicular networks. In this paper, utilizing the Euclidean norm theory, we first propose a reliability and latency joint function to evaluate the joint impact of reliability and latency in 5G autonomous vehicular networks. The interactions between reliability and latency are illustrated via Monte Carlo simulations of 5G autonomous vehicular networks. To improve both the reliability and latency performance and implement URLLC, a new network slicing solution that extends from resource slicing to service and function slicing is presented for 5G autonomous vehicular networks. The simulation results indicate that the proposed network slicing solution can improve both the reliability and latency performance and ensure URLLC in 5G autonomous vehicular networks. Xiaohu Ge (M'09-SM'11) received the Ph.D. degree in communication and information engineering from the
The authors of REF employed the Euclidean norm theory for proposing a reliability and latency joint function to evaluate the impact of reliability and latency in 5G vehicular networks.
Ultra-Reliable Low-Latency Communications in Autonomous Vehicular Networks
IEEE Transactions on Vehicular Technology
IEEE Transactions on Vehicular Technology
Computer Science