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) enables task offloading from vehicles to the edge servers
deployed on Road Side Units (RSUs), thus enhancing the task processing performance of …

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 …

With the emergence of in-vehicle applications, providing the required computational
capabilities is becoming a crucial problem. This paper proposes a framework named …

Vehicular edge computing (VEC) has been a new paradigm to support computation-
intensive and latency-sensitive services. However, the scarcity of computational resources is …

In recent years, data-driven intelligent transportation systems (ITS) have developed rapidly
and brought various AI-assisted applications to improve traffic efficiency. However, these …

Vehicular edge computing (VEC) is a potential field that distributes computational tasks
between VEC servers and local vehicular terminals, hence improve vehicular services. At …

Mobile vehicles have been considered as potential edge servers to provide computation
resources for the emerging Intelligent Transportation System (ITS) applications. However …

The development of autonomous driving poses significant demands on computing resource,
which is challenging to resource-constrained vehicles. To alleviate the issue, Vehicular …