153 citations · 372 across the 65 of their papers we have counts for
69 papers
A Spatio-Temporal Model for Information Freshness in Massive Random Access
Andrea Munari, Alessandro Buratto, Federico Chiariotti +2
Massive connectivity, a key building block of 5G, is expected to play an important role in the next generation of wireless systems, and its expected requirements are being revoluti…
GO-GenZip: Goal-Oriented Generative Sampling and Hybrid Compression
Pietro Talli, Qi Liao, Alessandro Lieto +3
Current network data telemetry pipelines consist of massive streams of fine-grained Key Performance Indicators (KPIs) from multiple distributed sources towards central aggregators,…
Goal-Oriented Access Optimization for ISAC-Enabled Digital Twins
Fabio Saggese, Federico Chiariotti, Shashi Raj Pandey +3
Digital twins (DTs) of physical systems enable real-time remote tracking, control, and learning, but require to be updated with environmental sensory data to maintain alignment wit…
A Theory of Goal-Oriented Medium Access: Protocol Design and Distributed Bandit Learning
Federico Chiariotti, Andrea Zanella
The Goal-oriented Communication (GoC) paradigm breaks the separation between communication and the content of the data, tailoring communication decisions to the specific needs of t…
End-to-end Modeling and Optimization of Timing and Energy in Wireless IoT Systems
Pietro Talli, Anup Mishra, Federico Chiariotti +3
With the advent of edge computing, data generated by end devices can be pre-processed before transmission, possibly saving transmission time and energy. On the other hand, data pro…
Push-Pull Medium Access for Digital Twin Alignment and Low-Latency Anomaly Reporting
Federico Chiariotti, Fabio Saggese, Andrea Munari +2
A digital twin (DT) contains a set of virtual models of real systems and processes that are synchronized with their physical counterparts. In a setup in which contact with the phys…
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…
Low-Power and Accurate IoT Monitoring Under Radio Resource Constraint
Takaho Shimokasa, Hiroyuki Yomo, Federico Chiariotti +2
This paper investigates how to achieve both low-power operations of sensor nodes and accurate state estimation using Kalman filter for internet of things (IoT) monitoring employing…
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…
Spatio-Temporal Information Freshness for Remote Source Monitoring in IoT Systems
Andrea Munari, Federico Chiariotti, Leonardo Badia +1
The widespread adoption of age of information (AoI) as a meaningful and analytically tractable information freshness metric has led to a wide body of work on the timing performance…
Medium Access for Push-Pull Data Transmission in 6G Wireless Systems
Shashi Raj Pandey, Fabio Saggese, Junya Shiraishi +2
Medium access in 5G systems was tailored to accommodate diverse traffic classes through network resource slicing. 6G wireless systems are expected to be significantly reliant on Ar…
Movement- and Traffic-based User Identification in Commercial Virtual Reality Applications: Threats and Opportunities
Sara Baldoni, Salim Benhamadi, Federico Chiariotti +2
With the unprecedented diffusion of virtual reality, the number of application scenarios is continuously growing. As commercial and gaming applications become pervasive, the need f…
Goal-Oriented Medium Access with Distributed Belief Processing
Federico Chiariotti, Andrea Munari, Leonardo Badia +1
Goal-oriented communication entails the timely transmission of updates related to a specific goal defined by the application. In a distributed setup with multiple sensors, each ind…
Peak Age of Incorrect Information of Reactive ALOHA Reporting Under Imperfect Feedback
Federico Chiariotti, Andrea Munari, Leonardo Badia +1
Age of Incorrect Information (AoII) is particularly relevant in systems where real time responses to anomalies are required, such as natural disaster alerts, cybersecurity warnings…
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…
Content-based Wake-up for Energy-efficient and Timely Top-k IoT Sensing Data Retrieval
Junya Shiraishi, Anders E. Kalør, Israel Leyva-Mayorga +3
Energy efficiency and information freshness are key requirements for sensor nodes serving Industrial Internet of Things (IIoT) applications, where a sink node collects informative…
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…
End-to-End Delivery in LEO Mega-constellations and the Reordering Problem
Rasmus Sibbern Frederiksen, Thomas Gundgaard Mulvad, Israel Leyva-Mayorga +2
Low Earth orbit (LEO) satellite mega-constellations with hundreds or thousands of satellites and inter-satellite links (ISLs) have the potential to provide global end-to-end connec…
Effective Communication with Dynamic Feature Compression
Pietro Talli, Francesco Pase, Federico Chiariotti +2
The remote wireless control of industrial systems is one of the major use cases for 5G and beyond systems: in these cases, the massive amounts of sensory information that need to b…
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…
Energy-Efficient Internet of Things Monitoring with Content-Based Wake-Up Radio
Anay Ajit Deshpande, Federico Chiariotti, Andrea Zanella
The use of Wake-Up Radio (WUR) in Internet of Things (IoT) networks can significantly improve their energy efficiency: battery-powered sensors can remain in a low-power (sleep) mod…
Low-Latency Massive Access with Multicast Wake Up Radio
Anay Ajit Deshpande, Federico Chiariotti, Andrea Zanella
The use of Wake-Up Radio (WUR) in Internet of Things (IoT) networks can significantly improve their energy efficiency: battery-powered sensors can remain in a low-power (sleep) mod…
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,…