The advent of new cloud-based applications such as mixed reality, online gaming,
autonomous driving, and healthcare has introduced infrastructure management challenges …

Mobile edge computing (MEC) and device-to-device (D2D) offloading are two promising
paradigms in the industrial Internet of Things (IIoT). In this article, we investigate task co …

In device to device (D2D) aided mobile edge computing (MEC) networks, by implementing
content caching and D2D links, the edge server and nearby mobile devices can provide task …

This paper considers computation offloading and service caching in a three-tier mobile
cloud-edge computing structure, in which Mobile Users (MUs) have subscribed to the Cloud …

With the continuous expansion of the power Internet of Things (IoT) and the rapid increase in
the number of Smart Devices (SDs), the data generated by SDs has exponentially …

Mobile edge computing (MEC) enables various services to be cached in close proximity to
the user equipments (UEs), thereby reducing the service delay of many emerging …

In connected autonomous vehicles (CAVs), the driving safety can be greatly deteriorated, in
the presence of occlusions which are adverse to CAVs' perception of region-of-interest (RoI) …

In this paper, we investigate a radio access network (RAN) slicing problem for Internet of
vehicles (IoV) services with different quality of service (QoS) requirements, in which multiple …

Service caching refers to caching the necessary programs or/and the related databases for
performing computational tasks at edge servers, which has been considered to save both …

The emergence of unmanned aerial vehicles (UAVs) extends the mobile edge computing
(MEC) services in broader coverage to offer new flexible and low-latency computing …