The advances introduced by Unmanned Aerial Vehicles (UAVs) are manifold and have
paved the path for the full integration of UAVs, as intelligent objects, into the Internet of …

Recent advances in artificial intelligence (AI) have impacts on the development of
communication networks. Diversified applications and scenarios put forward AI-native …

Unmanned aerial vehicle (UAV)-enabled edge computing is emerging as a potential
enabler for Artificial Intelligence of Things (AIoT) in the forthcoming sixth-generation (6G) …

Unmanned aerial vehicles (UAVs) are becoming integrated into a wide range of modern IoT
applications. The growing number of networked IoT devices generates a large amount of …

Edge computing is a promising technique that can assist wireless devices (WDs) in
processing computation tasks by offloading them to nearby base stations for reducing …

With the assistance of unmanned aerial vehicles (UAVs), wireless communication networks
can provide connectivity to edge devices (EDs) even in challenging signal conditions …

In recent years, the number of vehicles connected to the Internet has increased explosively,
and those vehicles have produced a large number of computing-intensive and delay …

Mobile edge computing (MEC) is a paradigm that supports resource-intensive applications
on mobile devices by offloading the tasks to edge servers. This paper considers a multi …

Deep Neural Network (DNN) has shown remarkable success in Computer Vision and
Augmented Reality. However, battery-powered devices still cannot afford to run state-of-the …

Unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) is a promising
technology to provide computational services to ground terminal devices (TDs) in remote …