The deployment of the fifth-generation (5G) wireless networks in Internet of Everything (IoE)
applications and future networks (eg, sixth-generation (6G) networks) has raised a number …

To date, the rollout of 5G (5 th generation of mobile communications) has been ongoing for
more than two years, with most of it still to come. Meanwhile, Key-Performance Indicators …

Sixth-generation communication networks must be highly dependable due to the foreseen
connectivity of critical infrastructures through them. Dependability is a compound metric of …

For future networks, it is highly demanding to satisfy a wide range of time-sensitive and
computation-intensive services. This is a very challenging task, since it requires a …

The unmanned aerial vehicle (UAV) swarms have shown great potential to serve next-
generation communication networks with their extraordinary flexibility, affordability, and the …

Federated learning (FL) has emerged as a promising alternative to centralized machine
learning for exploiting large amounts of data generated by networks while ensuring data …

The increasing complexity of deep neural networks poses significant barriers to
democratizing them to resource-limited edge devices. To address this challenge, split …

Vertical federated learning (FL) is a collaborative machine learning framework that enables
devices to learn a global model from the feature-partition datasets without sharing local raw …

Terahertz ultra-massive multiple-input multiple-output (THz UM-MIMO) is envisioned as one
of the key enablers of 6G wireless systems. Due to the joint effect of its large array aperture …

In this paper, we study unmanned aerial vehicles (UAVs) assisted wireless data aggregation
(WDA) in multi-cluster networks, where multiple UAVs simultaneously perform different WDA …