Research on Vehicle-to-Road Collaboration and End-to-End Collaboration for Multimedia Services in the Internet of Vehicles

Abstract

With the development of mature communication network technologies such as 5G, edge computing and slicing, business applications in areas such as telematics and intelligent transportation need the support of vehicle-road collaboration technologies. Due to the mobility of vehicles and the heterogeneity of communication interfaces, there are many challenges for data transmission and the processing of telematics. Therefore, network resources, roadside unit devices and sunken edge nodes need to work together to guarantee real-time network communication. Thus, they can jointly help improve the quality of network services and user experience and show the level of vehicle-road collaboration in terms of safety, efficiency and service. In view of future 5G network-related technologies and C-V2X development trends, this paper provides a comprehensive technical solution framework for telematics based on end-edge collaboration, and combines network resource deployment optimization and edge caching technologies for video transmission tasks in telematics application scenarios. By adding both a 5G base roadside unit (RSU) station and an UAV mobile base station, network resources are better allocated for scalable coded video, and a relatively better edge caching strategy is obtained based on user mobility analysis. Aiming to improve the network system performance, the vehicle side, roadside and edge side are jointly considered to improve the utilization efficiency of limited network resources. In this paper, we hope to provide a practical and effective service architecture for telematics video application scenarios through a convergence scheme of network resource allocation and edge caching configuration.

Keywords

• Internet of vehicles
• multimedia video
• 5G
• vehicle-road collaboration