A Survey of Multi-Access Edge Computing and Vehicular Networking

Abstract

With the introduction of 5G and the Internet of Things, Multi-access Edge Computing (MEC) has become an evolving distributed compute and storage capability at the network edge. MEC will support task offloading, mobility, resource allocation, and management of inter-server communications to improve quality of service and satisfy real-time applications that require low latency. Thus, MEC is regarded as a crucial capability that will provide computation and storage at the network edge as an extension of the more traditional cloud. By placing MEC at the network edge, a broad range of new applications and services can be offered in close proximity to users, including support for vehicular networks. This paper provides a current and comprehensive review of MEC-enabled vehicular networks. It first introduces MEC by providing a definition, architecture, applications, and challenges. The paper then investigates MEC support for vehicular network applications and services and identifies current research and future challenges.

Optimization of User Service Rate with Image Compression in Edge Computing-Based Vehicular Networks

“…MEC-enabled vehicular networks offer advantages such as reduced response times, diversified services, the alleviation of substantial bandwidth pressures caused by big data, and proximity-based storage and services [17]. Consequently, edge computing technology has seen widespread application in the IoV domain in recent years.…”

“…User Service Rate η = Number of users successfully served (served + not served) Total number of users (17) From the perspective of information transmission within the IoV, a user being successfully serviced implies that the data intended for transmission by the user have been successfully sent. Consequently, the calculation method for the user service rate can be transformed into the ratio of data transmission time to total time.…”

A C-ITS Architecture for MEC and Cloud Native Back-End Services

“…The advent of 5G, Internet of Things (IoT), and Vehicle Ad-hoc Networks (VANETs) is driving significant changes in internet and service distribution. Emerging applications demand enhanced Quality of Service (QoS), reduced energy consumption, lower latency, and increased capacity [19]. This impetus has led to the emergence of novel computing paradigms like fog computing and multi-access edge computing (MEC) [20], [21].…”

“…This impetus has led to the emergence of novel computing paradigms like fog computing and multi-access edge computing (MEC) [20], [21]. MEC stands out in vehicular applications for its support of high dynamicity and mobile clients [19], enabling diverse applications within the context of C-V2X such as cooperative autonomous driving [22], collision avoidance [23], platooning [24], [25], back situation awareness [3], video streaming between vehicles [4], [5] or Edge Dynamic Maps [6].…”

Mobile 5G Network Deployment Scheme on High-Speed Railway

“…Deploying MEC close to the terminal enables low latency and high efficiency of services [27]. Besides, MEC also has excellent computing and storage capabilities [28]. As such, how to make use of these excellent features to provide high quality services is the key point of future 5G research.…”