… remote cloud to the edge of networks in close proximity of vehicular users, which enables …
vehicular networks into MEC, thereby forming a novel paradigm named as Vehicular Edge …

… and storage capabilities of the vehicular network can be further … vehicular edge computing
network (CVECN) architecture. We first review the work related to MEC and vehicular networks…

… vehicular applications, such as intelligent path planning and safety applications. In this
paper, a collaborative edge … and improve service reliability for vehicular networks. First, a task …

… In [16], a joint resource allocation of communication, caching and computing based on …
vehicular networks, and propose a joint allocation scheme of computation and communication …

… and communication in vehicular networks. Edge computing has been regarded as an
effective technology to enhance computing and storing capabilities in vehicular networks while …

… To better understand how the customized local training strategy works in vehicular
networks, we explore the impact of statistical heterogeneity on convergence speed. First, we …

… In the vehicular network layer, we can divide the road into corresponding M segments based
on the coverage areas of M RSUs, eg, segment m corresponds to the coverage of RSU Rm. …

… Based on novel research [3]–[7], [34]–[36], we propose a 5G-enabled vehicular network
model based on edge computing, as shown in Fig. 1. The system architecture in the proposed …

… networking paradigm, Vehicular Edge Computing (VEC), has been introduced in recent years
to the vehicular network … fulfill the requirements of both communication and computation is …

… , giving rise to the vehicular edge computing networks (VECNs). However, most … edge
servers into account. To address these issues and given the high dynamics of vehicular networks, …