activity
20182025
most citedArtificial Intelligence for Satellite Communication and Non-Terrestrial Networks: A Survey

25 citations · 42 across the 12 of their papers we have counts for

collaborators

12 papers

cs.NI2025★ 3 cited

Large-Scale AI in Telecom: Charting the Roadmap for Innovation, Scalability, and Enhanced Digital Experiences

Adnan Shahid, Adrian Kliks, Ahmed Al-Tahmeesschi +132

This white paper discusses the role of large-scale AI in the telecommunications industry, with a specific focus on the potential of generative AI to revolutionize network functions…

eess.SP2025

Energy Consumption Reduction for UAV Trajectory Training : A Transfer Learning Approach

Chenrui Sun, Swarna Bindu Chetty, Gianluca Fontanesi +4

The advent of 6G technology demands flexible, scalable wireless architectures to support ultra-low latency, high connectivity, and high device density. The Open Radio Access Networ…

eess.SP2024

A Deep-NN Beamforming Approach for Dual Function Radar-Communication THz UAV

Gianluca Fontanesi, Anna Guerra, Francesco Guidi +7

In this paper, we consider a scenario with one UAV equipped with a ULA, which sends combined information and sensing signals to communicate with multiple GBS and, at the same time,…

eess.SP2024

Continuous Transfer Learning for UAV Communication-aware Trajectory Design

Chenrui Sun, Gianluca Fontanesi, Swarna Bindu Chetty +3

Deep Reinforcement Learning (DRL) emerges as a prime solution for Unmanned Aerial Vehicle (UAV) trajectory planning, offering proficiency in navigating high-dimensional spaces, ada…

eess.SP2023★ 25 cited

Artificial Intelligence for Satellite Communication and Non-Terrestrial Networks: A Survey

G. Fontanesi, F. Ortíz, E. Lagunas +18

This paper surveys the application and development of Artificial Intelligence (AI) in Satellite Communication (SatCom) and Non-Terrestrial Networks (NTN). We first present a compre…

cs.RO2022★ 1 cited

A Transfer Learning Approach for UAV Path Design with Connectivity Outage Constraint

Gianluca Fontanesi, Anding Zhu, Mahnaz Arvaneh +1

The connectivity-aware path design is crucial in the effective deployment of autonomous Unmanned Aerial Vehicles (UAVs). Recently, Reinforcement Learning (RL) algorithms have becom…

eess.SP2021

Deep Reinforcement Learning for Dynamic Band Switch in Cellular-Connected UAV

Gianluca Fontanesi, Anding Zhu, Hamed Ahmadi

The choice of the transmitting frequency to provide cellular-connected Unmanned Aerial Vehicle (UAV) reliable connectivity and mobility support introduce several challenges. Conven…

astro-ph.IM2020★ 4 cited

Assembly, Integration, and Verification Activities for a 2U CubeSat, EIRSAT-1

Sarah Walsh, David Murphy, Maeve Doyle +24

The Educational Irish Research Satellite, EIRSAT-1, is a project developed by students at University College Dublin that aims to design, build, and launch Ireland's first satellite…

astro-ph.IM2020★ 9 cited

Flight Software Development for the EIRSAT-1 Mission

Maeve Doyle, Andrew Gloster, Conor O'Toole +24

The Educational Irish Research Satellite, known as EIRSAT-1, is a student-led project to design, build, test and launch Ireland's first satellite. The on-board software for this mi…

eess.SP2019

Over the Sea UAV Based Communication

Gianluca Fontanesi, Hamed Ahmadi, Anding Zhu

Unmanned Aerial Vehicle (UAV) aided wireless networks have been recently envisioned as a solution to provide a reliable, low latency cellular link for search and rescue operations…

eess.SP2018

Saving Lives at Sea with UAV-assisted Wireless Networks

Gianluca Fontanesi, Anding Zhu, Hamed Ahmadi

In this paper, we investigate traits and trade-offs of a system combining UAVs with BS or C-RAN for extending the terrestrial wireless coverage over the sea in emergency situations…

eess.SP2018

Resilience of airborne networks

Hamed Ahmadi, Gianluca Fontanesi, Konstantinos Katzis +2

Networked flying platforms can be used to provide cellular coverage and capacity. Given that 5G and beyond networks are expected to be always available and highly reliable, resilie…