The demanding computing capacity of emerging vehicular applications has emerged as a
challenge in Internet of vehicles (IoVs). Multi-access edge computing (MEC) can significantly …

This paper investigates a cache-aided mobile edge computing (MEC) network, where the
source offloads the computation task to multiple destinations with computation capacity, with …

For millimeter wave massive multiple-input multiple-output systems, the transceiver usually
adopts a hybrid precoding structure to reduce complexity and cost, which poses great …

Load balance in vehicular ad hoc networks (VANETs) is a challenge in vehicle-to-vehicle
computation offloading, due to stochastic requests of users, heterogeneous service …

The edge computing paradigm has opened new opportunities for IoT devices, which can be
used in novel applications involving heavy processing of data. Typical and common …

This article studies a mobile edge computing (MEC) with one edge node (EN), where
multiple unmanned aerial vehicles (UAVs) act as users which have some heavy tasks. As …

Task offloading decision making plays a key role in enabling mobile-edge computing (MEC)
technologies in Internet of Things (IoT). However, it meets the significant challenges arising …

In this paper, we investigate mobile edge computing (MEC) networks for intelligent
information services, where there are N users equipped with K antennas and one access …

With the development of Internet of Things (IoT) devices and the growth of users' demand for
computation and real-time services, artificial intelligence has been applied to reduce the …

In recent years, with the rapid development of Internet of Things (IoTs) and artificial
intelligence, vehicular networks have transformed from simple interactive systems to smart …