3 citations · 3 across the 10 of their papers we have counts for
10 papers
Quantum Computing for Large-scale Network Optimization: Opportunities and Challenges
Sebastian Macaluso, Giovanni Geraci, Elías 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…
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…
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…
Data-Driven Design of 3GPP Handover Parameters with Bayesian Optimization and Transfer Learning
Mohamed Benzaghta, Sahar Ammar, David López-Pérez +2
Mobility management in dense cellular networks is challenging due to varying user speeds and deployment conditions. Traditional 3GPP handover (HO) schemes, relying on fixed A3-offs…
Data-driven Optimization and Transfer Learning for Cellular Network Antenna Configurations
Mohamed Benzaghta, Giovanni Geraci, David López-Pérez +1
We propose a data-driven approach for large-scale cellular network optimization, using a production cellular network in London as a case study and employing Sionna ray tracing for…
Mathematical Cell Deployment Optimization for Capacity and Coverage of Ground and UAV Users
Saeed Karimi-Bidhendi, Giovanni Geraci, Hamid Jafarkhani
We present a general mathematical framework for optimizing cell deployment and antenna configuration in wireless networks, inspired by quantization theory. Unlike traditional metho…
Capacity and Power Consumption of Multi-Layer 6G Networks Using the Upper Mid-Band
David López-Pérez, Nicola Piovesan, Giovanni Geraci
This paper presents a new system model to evaluate the capacity and power consumption of multi-layer 6G networks utilising the upper mid-band (FR3). The model captures heterogeneou…
Physically Consistent RIS: From Reradiation Mode Optimization to Practical Realization
Javad Shabanpour, Constantin Simovski, Giovanni Geraci
We propose a practical framework for designing a physically consistent reconfigurable intelligent surface (RIS) to overcome the inefficiency of the conventional phase gradient appr…