The proliferation of compute-intensive services in next-generation vehicular networks will
impose an unprecedented computation demand to meet stringent latency and resource …

As a promising new paradigm, Vehicular Edge Computing (VEC) can improve the QoS of
vehicular applications by computation offloading. However, with more and more …

To satisfy the low-latency requirements of emerging computation-intensive vehicular
services, offloading these services to edge or cloud servers has been recognized as an …

By integrating Mobile Edge Computing (MEC) into vehicular networks, vehicular edge
computing extends computing capability to the vehicular network edge and hosts services in …

With the popularity of mobile devices and development of computationally intensive
applications, researchers are focusing on offloading computation to the mobile-edge …

With computation offloading widely used in the computation-intensive vehicular applications,
vehicular edge computing (VEC) faces the resource shortage of VEC servers. In this paper …

With the advent of autonomous vehicles, how to meet the computing demands of vehicles
with computing-intensive and latency-sensitive tasks becomes a challenge. Vehicular Edge …

Edge computing technology has great potential to improve various computation-intensive
applications in vehicular networks by providing sufficient computation resources for vehicles …

Vehicular edge computing is viewed as a promising technique for relieving the overload of
base station (BS) on roadside, via leveraging the computation resources of vehicles on road …

Vehicular edge computing (VEC) is one of the prominent ideas to enhance the computation
and storage capabilities of vehicular networks (VNs) through task offloading. In VEC, the …