The quantum leap in mobile data traffic and high density of wireless electronic devices,
coupled with the advancements in industrial radio monitoring and autonomous systems …

In this paper, we investigate a distributed machine learning approach for a multiuser mobile
edge computing (MEC) network in a cognitive eavesdropping environment, where multiple …

Many performance gains achieved by massive multiple-input and multiple-output depend on
the accuracy of the downlink channel state information (CSI) at the transmitter (base station) …

In this paper, we investigate how to deploy computational intelligence and deep learning
(DL) in edge-enabled industrial IoT networks. In this system, the IoT devices can …

This paper studies a secure mobile edge computing (MEC) for emerging cyber physical
systems (CPS), where there exist K eavesdroppers in the network, which can threaten the …

This article examines a multi-user mobile edge computing (MEC) system for the Internet of
Vehicle (IoV), where one edge point (EP) nearby the vehicles can help assist in processing …

In this paper, we investigate an intelligent reflecting surface (IRS)-assisted mobile edge
computing (MEC) network under physical-layer security, where users can partially offload …

In this paper, we investigate a multiuser mobile edge computing (MEC)-aided smart Internet
of vehicle (IoV) network, where one edge server can help accomplish the intensive …

In this paper, we investigate intelligent ubiquitous computing for future unmanned aerial
vehicle (UAV)-enabled mobile edge computing network (MEC) systems, where multiple …

In this paper, we investigate how to analytically design an analytical offloading strategy for a
multiuser mobile edge computing (MEC)-based smart internet of vehicle (IoV), where there …