Digital twin (DT) has emerged as a promising technology to create digital replicas of
physical vehicles to facilitate driving in Internet of Vehicles (IoV). However, due to the …

A fundamental issue of the vehicular digital twin (DT) is efficiently synchronizing the data
between the DT and the vehicular user (VUE). In this paper, we consider the heterogeneous …

With the development of the sixth-generation (6G) network, virtualization remains critical.
The key to future virtualization lies in the service provisioning capability of the network and …

In the heterogeneous vehicular networks (HetVNets), the roadside units (RUs) can exploit
the massive amounts of valuable data collected by vehicles to complete federated learning …

To better support the emerging vehicular applications and multimedia services, vehicular
edge computing (VEC) provides computing and caching services in proximity to vehicles, by …

Digital twin (DT) has emerged as a promising technology for improving resource allocation
decisions in Internet of Vehicles (IoV) networks. In this paper, we consider an IoV network …

SDVN is a promising architecture to extend the computation resources which break through
the limitations of current vehicular networks. It is possible to learn new networking schemes …

Driven by the evolutionary development of automobile industry and cellular technologies,
dependable vehicular connectivity has become essential to realize future intelligent …

Resource allocation (RA) has a significant impact on vehicular network performance. With
high mobility, RA is more challenging, as the number of vehicles in close proximity changes …

With the boom in advanced intelligent vehicles, the amount of data associated with the
Internet of Vehicles (IoVs) grows exponentially. Sharing road data among vehicles …