Mobile edge computing (MEC) has emerged as a promising paradigm to realize user
requirements with low-latency applications. The deep integration of multi-access …

Vehicular Edge Computing (VEC) has gained increasing interest due to its potential to
provide low latency and reduce the load in backhaul networks. In order to meet drastically …

Recently, the rapid advance of vehicular networks has led to the emergence of diverse delay-
sensitive vehicular applications such as automatic driving, auto navigation. Note that …

Recently, traditional transportation systems have been gradually evolving to ITS, inspired by
both artificial intelligence and wireless communications technologies. The vehicles get …

Vehicular networks are facing the challenges to support ubiquitous connections and high
quality of service for numerous vehicles. To address these issues, mobile edge computing …

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

Mobile edge computing (MEC) has been an effective paradigm for supporting computation-
intensive applications by offloading resources at network edge. Especially in vehicular …

The emergence of augmented reality (AR), autonomous driving and other new applications
have greatly enriched the functionality of the vehicular networks. However, these …

As an enabling technology for the Internet of Vehicles (IoV), mobile edge computing (MEC)
provides potential solutions for sharing the computation capabilities among vehicles, in …

In mobile environments, with the help of larger bandwidths and cloud computing solutions,
any task can be offloaded from a mobile user equipment to be handled remotely. However …