To overcome devices' limitations in performing computation-intense applications, mobile
edge computing (MEC) enables users to offload tasks to proximal MEC servers for faster …

Deep neural networks (DNN) are the de-facto solution behind many intelligent applications
of today, ranging from machine translation to autonomous driving. DNNs are accurate but …

Machine-to-machine communication with autonomous data acquisition and exchange plays
a key role in realizing the “control”-oriented tactile Internet applications such as industrial …

Cyber-physical Internet of things system (CPIoTS), as an evolution of Internet of things (IoT),
plays a significant role in industrial area to support the interoperability and interaction of …

With the exponential growth of data traffic in wireless networks, edge caching has been
regarded as a promising solution to offload data traffic and alleviate backhaul congestion …

Different from the traditional device-to-device (D2D) communication, vehicle-to-everything
(V2X) communication is characterized by the high mobility of vehicles, which introduces the …

Vehicular edge computing has emerged as a promising technology to accommodate the
tremendous demand for data storage and computational resources in vehicular networks. By …

In this paper, we investigate the resource slicing and scheduling problem in the space-
terrestrial integrated vehicular networks to support both delay-sensitive services (DSSs) and …

Integrating digital twins (DTs) and multi-access edge computing (MEC) is a promising
technology that realizes edge intelligence in 6 G, which has been recognized as the key …

Due to explosive growth of computation-intensive applications, multi-access mobile edge
computing (MEC) has been proposed as an efficient technology to relieve the burden on …