10 papers
Bridging Earth and Space: A Survey on HAPS for Non-Terrestrial Networks
G. Svistunov, A. Akhtarshenas, D. López-Pérez +3
HAPS are emerging as key enablers in the evolution of 6G wireless networks, bridging terrestrial and non-terrestrial infrastructures. Operating in the stratosphere, HAPS can provid…
A Multi-Task Foundation Model for Wireless Channel Representation Using Contrastive and Masked Autoencoder Learning
Berkay Guler, Giovanni Geraci, Hamid Jafarkhani
Current applications of self-supervised learning to wireless channel representation often borrow paradigms developed for text and image processing, without fully addressing the uni…
Quantum Computing for Large-scale Network Optimization: Opportunities and Challenges
Sebastian Macaluso, Giovanni Geraci, ElÃas F. Combarro +4
The complexity of large-scale 6G-and-beyond networks demands innovative approaches for multi-objective optimization over vast search spaces, a task often intractable. Quantum compu…
Data-Driven Cellular Mobility Management via Bayesian Optimization and Reinforcement Learning
Mohamed Benzaghta, Sahar Ammar, David López-Pérez +2
Mobility management in cellular networks faces increasing complexity due to network densification and heterogeneous user mobility characteristics. Traditional handover (HO) mechani…
Cellular Network Design for UAV Corridors via Data-driven High-dimensional Bayesian Optimization
Mohamed Benzaghta, Giovanni Geraci, David López-Pérez +1
We address the challenge of designing cellular networks for uncrewed aerial vehicles (UAVs) corridors through a novel data-driven approach. We assess multiple state-of-the-art high…
Optimizing UAV Aerial Base Station Flights Using DRL-based Proximal Policy Optimization
Mario Rico Ibanez, Azim Akhtarshenas, David Lopez-Perez +1
Unmanned aerial vehicle (UAV)-based base stations offer a promising solution in emergencies where the rapid deployment of cutting-edge networks is crucial for maximizing life-savin…