6G for Vehicle-to-Everything (V2X) Communications: Enabling Technologies, Challenges, and Opportunities
2022/05/20 by Md. Noor‐A‐Rahim, Md. Noor-A-Rahim, Zilong Liu +7 · 661 citations
Computer Science · Engineering · #Advanced Wireless Communication Technologies #Computer network #Computer science #Computer security #Engineering #Intelligent transportation system #IoT and Edge/Fog Computing #Key (lock) #Low latency (capital markets) #Maturity (psychological) #Systems engineering #Telecommunications #Transport engineering #Vehicular Ad Hoc Networks (VANETs) #Vehicular ad hoc network #Vehicular communication systems #Wireless #Wireless ad hoc network
paper · pdf · doi:10.1109/jproc.2022.3173031
published in Proceedings of the IEEE 110(6), 712-734 (Institute of Electrical and Electronics Engineers)
openalex created_date 2020/12/21 · openalex publication_date 2022/05/20 · openalex updated_date 2026/08/05
Abstract
We are on the cusp of a new era of connected autonomous vehicles with unprecedented user experiences, tremendously improved road safety and air quality, highly diverse transportation environments and use cases, and a plethora of advanced applications. Realizing this grand vision requires a significantly enhanced vehicle-to-everything (V2X) communication network that should be extremely intelligent and capable of concurrently supporting hyperfast, ultrareliable, and low-latency massive information exchange. It is anticipated that the sixth-generation (6G) communication systems will fulfill these requirements of the next-generation V2X. In this article, we outline a series of key enabling technologies from a range of domains, such as new materials, algorithms, and system architectures. Aiming for truly intelligent transportation systems, we envision that machine learning (ML) will play an instrumental role in advanced vehicular communication and networking. To this end, we provide an overview of the recent advances of ML in 6G vehicular networks. To stimulate future research in this area, we discuss the strength, open challenges, maturity, and enhancing areas of these technologies.
Citations
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