Satellites and aerial platforms can be significant in the development of new
telecommunications networks, allowing to deploy networks with extremely high performance …

Unmanned Aerial Vehicles (UAVs) play an important role in many applications, including
health, transport, telecommunications and safe and rescue operations. Their adoption can …

For Industry 4.0 Revolution, cooperative autonomous mobility systems are widely used
based on multi-agent reinforcement learning (MARL). However, the MARL-based algorithms …

In this article, we propose hybrid deep quantum-transformer networks (QTNs) to predict the
optimal beam in integrated sensing and communication (ISAC) systems employing …

A comprehensive coverage of the state-of-the-art in quantum machine learning (QML)
methodologies, with a unique perspective on their applications for wireless communications …

This paper proposes a novel analytics-driven user assistance software validation approach
for quantum neural network (QNN) codes. The proposed analytics-driven QNN user …

This article addresses novel quantum multi-agent reinforcement learning (QMARL)-based
scheduling for integrated terrestrial ground-stations and large-scale non-terrestrial cube …

A metaverse is composed of a physical-space and virtual-space, with the aim of having
users in both the virtual reality and the real world experience. Prioritization is essential, but it …

Recent advances in low Earth orbit (LEO) satellites have made it possible to achieve zero
blind spots on Earth. Considering the give locations of these devices, this makes satellite …

The advent of reusable rockets has heralded a new era in space exploration, reducing the
costs of launching satellites by a significant factor. Traditional rockets were disposable, but …