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Artificial Intelligence for Satellite Communication: A Survey
Gianluca Fontanesi;Flor Ortíz;Eva Lagunas;Luis Manuel Garcés-Socarrás;Victor Monzon Baeza;Miguel Ángel Vázquez;Juan Andrés Vásquez-Peralvo;Mario Minardi;Ha Nguyen Vu;Puneeth Jubba Honnaiah;Clement Lacoste;Youssouf Drif;Liz Martinez Marrero;Saed Daoud;Tedros Salih Abdu;Geoffrey Eappen;Junaid ur Rehman;Wallace Alves Martins;Pol Henarejos;Hayder Al-Hraishawi;Juan Carlos Merlano Duncan;Thang X. Vu;Symeon Chatzinotas
IEEE Communications Surveys & Tutorials
Year: 2025 | Early Access Article |
This paper provides a comprehensive survey on the application and development of Artificial Intelligence (AI) and Machine Learning (ML) in satellite communication (SATCOM). It explores the increasing integration of AI/ML technologies in SATCOM systems, highlighting their potential to enhance performance, efficiency, and adaptability in response to growing demands for connectivity and data processi...Show More
Artificial Intelligence for Satellite Communication: A Survey
Gianluca Fontanesi;Flor Ortíz;Eva Lagunas;Luis Manuel Garcés-Socarrás;Victor Monzon Baeza;Miguel Ángel Vázquez;Juan Andrés Vásquez-Peralvo;Mario Minardi;Ha Nguyen Vu;Puneeth Jubba Honnaiah;Clement Lacoste;Youssouf Drif;Liz Martinez Marrero;Saed Daoud;Tedros Salih Abdu;Geoffrey Eappen;Junaid ur Rehman;Wallace Alves Martins;Pol Henarejos;Hayder Al-Hraishawi;Juan Carlos Merlano Duncan;Thang X. Vu;Symeon Chatzinotas
Year: 2025 | Early Access Article |
A Deep-NN Beamforming Approach for Dual Function Radar-Communication THz UAV
Gianluca Fontanesi;Anna Guerra;Francesco Guidi;Juan A. Vásquez-Peralvo;Nir Shlezinger;Alberto Zanella;Eva Lagunas;Symeon Chatzinotas;Davide Dardari;Petar M. Djurić
In this paper, we consider a scenario with one unmanned aerial vehicle (UAV), equipped with a uniform planar array (UPA), which transmits combined information and sensing signals to communicate with multiple ground base stations (GBSs) while simultaneously revealing the presence of potential targets within a specified area on the ground.We aim to jointly design the transmit beamforming and the GBS...Show More
ConPA: A Contention-free Mechanism with Power Adaptation for Beyond Listen-Before-Talk
Francesc Wilhelmi;Paolo Baracca;Gianluca Fontanesi;Lorenzo Galati-Giordano
2024 IEEE 35th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)
Year: 2024 | Conference Paper |
In view of the need to find novel means to utilize the unlicensed spectrum to meet the rising latency and reliability requirements of new applications, we propose a novel mechanism that allows devices to transmit anytime that a packet has to be delivered. The proposed mechanism, Contention-free with Power Adaptation (ConPA), aims to bypass the contention periods of current Listen-Before-Talk (LBT)...Show More
Continuous Multi-Link Operation: A Contention-Free Mechanism for the Unlicensed Spectrum
Gianluca Fontanesi;Francesc Wilhelmi;Lorenzo Galati Giordano
2024 IEEE 25th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
Year: 2024 | Conference Paper |
This paper proposes a novel mechanism to enforce contention-free channel access in the unlicensed spectrum, as opposed to the traditional contention-based approach. To achieve this objective, we build on the Wi-Fi 7 multi-link operation (MLO) and define the means whereby independent channel access attempts are performed in all the addressable links to ensure one available channel/link is ready for...Show More
Continuous Transfer Learning for UAV Communication-Aware Trajectory Design
Chenrui Sun;Gianluca Fontanesi;Swarna Bindu Chetty;Xuanyu Liang;Berk Canberk;Hamed Ahmadi
2024 11th International Conference on Wireless Networks and Mobile Communications (WINCOM)
Year: 2024 | Conference Paper |
Deep Reinforcement Learning (DRL) emerges as a prime solution for Unmanned Aerial Vehicle (UAV) trajectory planning, offering proficiency in navigating high-dimensional spaces, adaptability to dynamic environments, and making sequential decisions based on real-time feedback. Despite these advantages, the use of DRL for UAV trajectory planning requires significant retraining when the UAV is confron...Show More
AI/ML-based Load Prediction in IEEE 802.11 Enterprise Networks
Francesc Wilhelmi;Dariush Salami;Gianluca Fontanesi;Lorenzo Galati-Giordano;Mika Kasslin
2024 IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN)
Year: 2024 | Conference Paper |
Cited by: Papers (1)
Enterprise Wi-Fi networks can greatly benefit from Artificial Intelligence and Machine Learning (AI/ML) thanks to their well-developed management and operation capabilities. At the same time, AI/ML-based traffic/load prediction is one of the most appealing data-driven solutions to improve the Wi-Fi experience, either through the enablement of autonomous operation or by boosting troubleshooting wit...Show More
Advancing UAV Communications: A Comprehensive Survey of Cutting-Edge Machine Learning Techniques
Chenrui Sun;Gianluca Fontanesi;Berk Canberk;Amirhossein Mohajerzadeh;Symeon Chatzinotas;David Grace;Hamed Ahmadi
This paper provides a comprehensive overview of the evolution of Machine Learning (ML), from traditional to advanced, in its application and integration into unmanned aerial vehicle (UAV) communication frameworks and practical applications. The manuscript starts with an overview of the existing research on UAV communication and introduces the most traditional ML techniques. It then discusses UAVs ...Show More
Throughput Analysis of IEEE 802.11bn Coordinated Spatial Reuse
Francesc Wilhelmi;Lorenzo Galati-Giordano;Giovanni Geraci;Boris Bellalta;Gianluca Fontanesi;David Nuñez
2023 IEEE Conference on Standards for Communications and Networking (CSCN)
Year: 2023 | Conference Paper |
Cited by: Papers (2)
Multi-Access Point Coordination (MAPC) is becoming the cornerstone of the IEEE 802.11bn amendment, alias Wi-Fi 8. Among the MAPC features, Coordinated Spatial Reuse (C-SR) stands as one of the most appealing due to its capability to orchestrate simultaneous access point transmissions at a low implementation complexity. In this paper, we contribute to the understanding of C-SR by introducing an ana...Show More
Flexible Beamforming for Direct Radiating Arrays in Satellite Communications
Juan Andrés Vásquez-Peralvo;Jorge Querol;Flor Ortíz;Jorge Luis González Rios;Eva Lagunas;Victor Monzon Baeza;Gianluca Fontanesi;Luis Manuel Garcés-Socorrás;Juan Carlos Merlano Duncan;Symeon Chatzinotas
Onboard satellite communication systems generate and manage coverage beams over the Earth. Depending on data traffic requirements, the number of beams, side lobe levels, nulls, and EIRP, their beamwidth must be efficiently generated and managed. Therefore, this paper describes an approach for beam pattern synthesis applied to geostationary satellite communication systems. The beam pattern synthesi...Show More
A Transfer Learning Approach for UAV Path Design With Connectivity Outage Constraint
IEEE Internet of Things Journal
Cited by: Papers (15)
The connectivity-aware path design is crucial in the effective deployment of autonomous unmanned aerial vehicles (UAVs). Recently, reinforcement learning (RL) algorithms have become the popular approach to solving this type of complex problem, but RL algorithms suffer slow convergence. In this article, we propose a transfer learning (TL) approach, where we use a teacher policy previously trained i...Show More
Towards Emulation of Intelligent IoT Networks on EU-US Testbeds
Sachin Sharma;Saish Urumkar;Gianluca Fontanesi;Venkat Sai Suman Lamba Karanam;Boyang Hu;Byrav Ramamurthy;Avishek Nag
2022 International Seminar on Intelligent Technology and Its Applications (ISITIA)
Year: 2022 | Conference Paper |
Cited by: Papers (1)
This paper introduces our project on experimental validation of intelligent Internet of Things (IoT) networks. The project is a part of the NGIAtlantic H2020 third open call to perform experiments on EU and US wireless testbeds. The project proposes five different experiments to be performed on EU/US testbeds: (1) automatic configuration/discovery of Software Defined Networking (SDN) in wireless I...Show More
Demonstrating Configuration of Software Defined Networking in Real Wireless Testbeds
2022 IEEE International Symposium on Local and Metropolitan Area Networks (LANMAN)
Year: 2022 | Conference Paper |
Cited by: Papers (3)
Currently, several wireless testbeds are available to test networking solutions including Fed4Fire testbeds such as w-ilab. t and CityLab in the EU, and POWDER and COSMOS in the US. In this demonstration, we use the w-ilab.t testbed to set up a wireless ad-hoc Software-Defined Network (SDN). OpenFlow is used as an SDN protocol and is deployed using a grid wireless ad-hoc topology in w-ilab.t. In t...Show More
Deep Reinforcement Learning for Dynamic Band Switch in Cellular-Connected UAV
2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall)
Year: 2021 | Conference Paper |
Cited by: Papers (5)
The choice of the transmitting frequency to provide cellular-connected Unmanned Aerial Vehicle (UAV) reliable connectivity and mobility support introduce several challenges. Conventional sub-6 GHz networks are optimized for ground Users (UEs). Operating at the millimeter Wave (mmWave) band would provide high-capacity but highly intermittent links. To reach the destination while minimizing a weight...Show More
Unmanned Aerial Vehicle (UAV)-wireless networks represent a promising solution to expand the reach of mobile connectivity beyond current boundaries. When Distributed Units (DUs) are deployed on the UAV, the high rate requirement on the wireless Fronthaul (FH) link between the UAV-DU and the terrestrial network poses a major challenge. To address the capacity demand of the FH network, we investigat...Show More
Over the Sea UAV Based Communication
2019 European Conference on Networks and Communications (EuCNC)
Year: 2019 | Conference Paper |
Cited by: Papers (3)
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 over the sea. We propose three different network architectures, based on the technology deployed on the UAV: a flying relay, a flying Base Station (BS) and a flying Remote Radio Head (RRH). We describe the challenges and...Show More
Resilience of airborne networks
Hamed Ahmadi;Gianluca Fontanesi;Konstantinos Katzis;Muhammad Zeeshan Shakir;Anding Zhu
2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)
Year: 2018 | Conference Paper |
Cited by: Papers (5)
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, resilience and reliability of these networks must be investigated. This paper introduces the specific features of airborne networks that influence their resilience. We then discuss how machine learning and blockchain technologi...Show More
Saving Lives at Sea with UAV-assisted Wireless Networks
2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)
Year: 2018 | Conference Paper |
Cited by: Papers (2)
In this paper, we investigate traits and trade-offs of a system combining Unmanned Aerial Vehicle (UAV)s with Base Station (BS) or Cloud Radio Access Networks (C-RAN) for extending the terrestrial wireless coverage over the sea in emergency situations. Results for an over the sea deployment link budget show the trade-off between power consumption and throughput to meet the Search and Rescue target...Show More
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