Sixth-generation (6G) space-air-ground integrated vehicular networks (SAGIVNs) are
expected to provide customized edge computing services for moving vehicles (MVs). In this …

The customization of edge computing services is one of the key research fields in sixth-
generation (6G) heterogeneous vehicular networks (HetVNETs). With various personalized …

With the growing intelligence needed on the Internet of Vehicles (IoV), seamless edge
computing services for the sixth generation (6G) vehicle-to-everything (V2X) applications …

Currently, Edge computing (EC) paradigm is adopted to provision the low-latency resources
for the massive real-time services in Internet of vehicles (IoV). To alleviate the QoE (Quality …

Driven by the ever-increasing demands of vehicular services, edge computing has become
a promising paradigm to facilitate edge services in vehicular networks by using edge …

As one key enabler of Intelligent Transportation System (ITS), Vehicular Ad Hoc Network
(VANET) has received remarkable interest from academia and industry. The emerging …

Intelligent connected vehicles (ICVs) equipped with onboard sensors, communication, and
computation units, are expected to be the promising paradigm of future vehicles. With the …

Edge computing has great potential to address the challenges in mobile vehicular networks
by transferring partial storage and computing functions to network edges. However, it is still …

Federated edge learning (FEEL) technology for vehicular networks is considered as a
promising technology to reduce the computation workload while keeping the privacy of …

Vehicular Edge Computing (VEC) has been studied as an important application of mobile
edge computing in vehicular networks. Usually, the generalization of VEC involves large …