1k citations · 2.4k across the 49 of their papers we have counts for
55 papers
Designing Cellular Networks for UAV Corridors via Bayesian Optimization
Mohamed Benzaghta, Giovanni Geraci, David Lopez-Perez +1
As traditional cellular base stations (BSs) are optimized for 2D ground service, providing 3D connectivity to uncrewed aerial vehicles (UAVs) requires re-engineering of the existin…
Accordion: A Communication-Aware Machine Learning Framework for Next Generation Networks
Fadhel Ayed, Antonio De Domenico, Adrian Garcia-Rodriguez +1
In this article, we advocate for the design of ad hoc artificial intelligence (AI)/machine learning (ML) models to facilitate their usage in future smart infrastructures based on c…
Power Consumption Modeling of 5G Multi-Carrier Base Stations: A Machine Learning Approach
Nicola Piovesan, David Lopez-Perez, Antonio De Domenico +2
The fifth generation of the Radio Access Network (RAN) has brought new services, technologies, and paradigms with the corresponding societal benefits. However, the energy consumpti…
Machine Learning and Analytical Power Consumption Models for 5G Base Stations
Nicola Piovesan, David Lopez-Perez, Antonio De Domenico +3
The energy consumption of the fifth generation(5G) of mobile networks is one of the major concerns of the telecom industry. However, there is not currently an accurate and tractabl…
UAV Communications in Integrated Terrestrial and Non-terrestrial Networks
Mohamed Benzaghta, Giovanni Geraci, Rasoul Nikbakht +1
With growing interest in integrating terrestrial networks (TNs) and non-terrestrial networks (NTNs) to connect the unconnected, a key question is whether this new paradigm could al…
Integrating Terrestrial and Non-terrestrial Networks: 3D Opportunities and Challenges
Giovanni Geraci, David Lopez-Perez, Mohamed Benzaghta +1
Integrating terrestrial and non-terrestrial networks has the potential of connecting the unconnected and enhancing the user experience for the already-connected, with technological…