With the rapid development of the Internet of Things (IoT), there are a dramatically
increasing number of devices, leading to the fact that only using terrestrial infrastructure can …

This paper studies the notion of age in task-oriented communications that aims to execute a
task at a receiver utilizing the data at its transmitter. The transmitter-receiver operations are …

Drones with integrated internet of things (IoT) technology now have a more comprehensive
range of potential uses, including those for surveillance, agriculture, search and rescue, and …

Intelligent real-time applications, such as video surveillance, demand intensive computation
to extract status information from raw sensing data. This poses a substantial challenge in …

This paper introduces a deep learning approach leveraging the synergy of multi-modal
image and spectrum data for the identification of potential transmitters to assist with dynamic …

Abstract Machine learning is a branch of AI, and it gives computers the capacity to learn
automatically from data and prior experiences to recognize patterns and make predictions …

Unmanned aerial vehicle (UAV) assisted data collection has been extensively employed in
various application scenarios, eg, non-terrestrial networks for disaster management …

The scope of the 6G wireless communication system is envisioned to expand beyond
delivering data to humans and towards connecting machines that constantly upload …

With the explosive growth of communication requirements for real-time intelligent tasks,
mobile communication is shifting from the traditional communication to task-oriented …

Mobile Edge Computing (MEC) is expected to play a significant role in the development of
6G networks, as new applications such as cooperative driving and eXtended Reality (XR) …