71 citations · 144 across the 18 of their papers we have counts for
20 papers
Value-Based Massive Access through Goal-Oriented Irregular Repetition Slotted ALOHA
Pietro Talli, Andrea Munari, Federico Mason +2
The goal-oriented communication paradigm is poised to enable novel real-time applications by easing the burden on communication networks while still delivering task-relevant inform…
Robust Remote Reinforcement Learning over Unreliable Communication Channels using Homomorphic State Encoding
Pietro Talli, Federico Mason, Federico Chiariotti +1
Traditional Reinforcement Learning (RL) frameworks generally assume that the agent perceives the state of the underlying Markov process instantaneously and then takes actions accor…
Secure Goal-Oriented Communication: Defending against Eavesdropping Timing Attacks
Federico Mason, Federico Chiariotti, Pietro Talli +1
Goal-oriented Communication (GoC) is a new paradigm that plans data transmission to occur only when it is instrumental for the receiver to achieve a certain goal. This leads to the…
PRATA: A Framework to Enable Predictive QoS in Vehicular Networks via Artificial Intelligence
Federico Mason, Tommaso Zugno, Matteo Drago +3
Predictive Quality of Service (PQoS) makes it possible to anticipate QoS changes, e.g., in wireless networks, and trigger appropriate countermeasures to avoid performance degradati…
To Train or Not to Train: Balancing Efficiency and Training Cost in Deep Reinforcement Learning for Mobile Edge Computing
Maddalena Boscaro, Federico Mason, Federico Chiariotti +1
Artificial Intelligence (AI) is a key component of 6G networks, as it enables communication and computing services to adapt to end users' requirements and demand patterns. The mana…
Eavesdropping on Goal-Oriented Communication: Timing Attacks and Countermeasures
Federico Mason, Federico Chiariotti, Pietro Talli +1
Goal-oriented communication is a new paradigm that considers the meaning of transmitted information to optimize communication. One possible application is the remote monitoring of…
Pragmatic Communication for Remote Control of Finite-State Markov Processes
Pietro Talli, Edoardo David Santi, Federico Chiariotti +4
Pragmatic or goal-oriented communication can optimize communication decisions beyond the reliable transmission of data, instead aiming at directly affecting application performance…
Push- and Pull-based Effective Communication in Cyber-Physical Systems
Pietro Talli, Federico Mason, Federico Chiariotti +1
In Cyber Physical Systems (CPSs), two groups of actors interact toward the maximization of system performance: the sensors, observing and disseminating the system state, and the ac…
Fast Context Adaptation in Cost-Aware Continual Learning
Seyyidahmed Lahmer, Federico Mason, Federico Chiariotti +1
In the past few years, DRL has become a valuable solution to automatically learn efficient resource management strategies in complex networks with time-varying statistics. However,…
Multi-Agent Reinforcement Learning for Pragmatic Communication and Control
Federico Mason, Federico Chiariotti, Andrea Zanella +1
The automation of factories and manufacturing processes has been accelerating over the past few years, boosted by the Industry 4.0 paradigm, including diverse scenarios with mobile…
Towards Decentralized Predictive Quality of Service in Next-Generation Vehicular Networks
Filippo Bragato, Tommaso Lotta, Gianmaria Ventura +4
To ensure safety in teleoperated driving scenarios, communication between vehicles and remote drivers must satisfy strict latency and reliability requirements. In this context, Pre…
Artificial Intelligence in Vehicular Wireless Networks: A Case Study Using ns-3
Matteo Drago, Tommaso Zugno, Federico Mason +3
Artificial intelligence (AI) techniques have emerged as a powerful approach to make wireless networks more efficient and adaptable. In this paper we present an ns-3 simulation fram…
A Reinforcement Learning Framework for PQoS in a Teleoperated Driving Scenario
Federico Mason, Matteo Drago, Tommaso Zugno +3
In recent years, autonomous networks have been designed with Predictive Quality of Service (PQoS) in mind, as a means for applications operating in the industrial and/or automotive…
No Free Lunch: Balancing Learning and Exploitation at the Network Edge
Federico Mason, Federico Chiariotti, Andrea Zanella
Over the last few years, the DRL paradigm has been widely adopted for 5G and beyond network optimization because of its extreme adaptability to many different scenarios. However, c…
Using Distributed Reinforcement Learning for Resource Orchestration in a Network Slicing Scenario
Federico Mason, Gianfranco Nencioni, Andrea Zanella
The Network Slicing (NS) paradigm enables the partition of physical and virtual resources among multiple logical networks, possibly managed by different tenants. In such a scenario…
Distributed Reinforcement Learning for Flexible and Efficient UAV Swarm Control
Federico Venturini, Federico Mason, Francesco Pase +4
Over the past few years, the use of swarms of Unmanned Aerial Vehicles (UAVs) in monitoring and remote area surveillance applications has become widespread thanks to the price redu…
Internet of Things for Elderly and Fragile People
Andrea Zanella, Federico Mason, Patrik Pluchino +3
This paper discusses the potential of the Internet of Things (IoT) paradigm in the context of assisted living for elderly and fragile people, in the light of the peculiar requireme…
Combining LoRaWAN and a New 3D Motion Model for Remote UAV Tracking
Federico Mason, Federico Chiariotti, Martina Capuzzo +3
Over the last few years, the many uses of Unmanned Aerial Vehicles (UAVs) have captured the interest of both the scientific and the industrial communities. A typical scenario consi…
An Adaptive Broadcasting Strategy for Efficient Dynamic Mapping in Vehicular Networks
Federico Mason, Marco Giordani, Federico Chiariotti +2
In this work, we face the issue of achieving an efficient dynamic mapping in vehicular networking scenarios, i.e., to obtain an accurate estimate of the positions and trajectories…
Quality-Aware Broadcasting Strategies for Position Estimation in VANETs
Federico Mason, Marco Giordani, Federico Chiariotti +2
The dissemination of vehicle position data all over the network is a fundamental task in Vehicular Ad Hoc Network (VANET) operations, as applications often need to know the positio…