36 citations · 73 across the 30 of their papers we have counts for
14 papers · 1 filter
Toward Integrated Sensing, Communications, and Edge Intelligence Networks
Mattia Merluzzi, Miltiadis C. Filippou, Paolo Di Lorenzo +1
Wireless systems are expanding their purposes, from merely connecting humans and things to connecting intelligence and opportunistically sensing of the environment through radio-fr…
Goal-oriented Spectrum Sharing: Trading Edge Inference Power for Data Streaming Performance
Mattia Merluzzi, Miltiadis C. Filippou
We study the problem of spectrum sharing between goal-oriented (GO) and legacy data-oriented (DO) systems. For the former, data quality and representation is no longer optimized ba…
Optimizing RIS Impairments through Semantic Communication
Nour Hello, Mattia Merluzzi, Emilio Calvanese Strinati +1
This paper investigates how semantic communication can effectively influence and potentially redefine the limitations imposed by physical layer settings. Reconfigurable Intelligent…
Goal-Oriented and Semantic Communication in 6G AI-Native Networks: The 6G-GOALS Approach
Emilio Calvanese Strinati, Paolo Di Lorenzo, Vincenzo Sciancalepore +17
Recent advances in AI technologies have notably expanded device intelligence, fostering federation and cooperation among distributed AI agents. These advancements impose new requir…
Enabling Edge Artificial Intelligence via Goal-oriented Deep Neural Network Splitting
Francesco Binucci, Mattia Merluzzi, Paolo Banelli +2
Deep Neural Network (DNN) splitting is one of the key enablers of edge Artificial Intelligence (AI), as it allows end users to pre-process data and offload part of the computationa…
Goal-oriented Communications for the IoT: System Design and Adaptive Resource Optimization
Paolo Di Lorenzo, Mattia Merluzzi, Francesco Binucci +4
Internet of Things (IoT) applications combine sensing, wireless communication, intelligence, and actuation, enabling the interaction among heterogeneous devices that collect and pr…
6G goal-oriented communications: How to coexist with legacy systems?
Mattia Merluzzi, Miltiadis C. Filippou, Leonardo Gomes Baltar +2
6G will connect heterogeneous intelligent agents to make them operate complex cooperative tasks. When connecting intelligence, two main research questions arise to identify how AI…
Blue Communications for Edge Computing: the Reconfigurable Intelligent Surfaces Opportunity
Fatima Ezzahra Airod, Mattia Merluzzi, Antonio Clemente +1
Wireless traffic is exploding, due to the myriad of new connections and the exchange of capillary data at the edge of the networks to operate real-time processing and decision maki…
Energy-Efficient Dynamic Edge Computing with Electromagnetic Field Exposure Constraints
Mattia Merluzzi, Serge Bories, Emilio Calvanese Strinati
We present a dynamic resource allocation strategy for energy-efficient and Electromagnetic Field (EMF) exposure aware computation offloading at the wireless network edge. The goal…
Energy-Efficient Classification at the Wireless Edge with Reliability Guarantees
Mattia Merluzzi, Claudio Battiloro, Paolo Di Lorenzo +1
Learning at the edge is a challenging task from several perspectives, since data must be collected by end devices (e.g. sensors), possibly pre-processed (e.g. data compression), an…
Effective Goal-oriented 6G Communications: the Energy-aware Edge Inferencing Case
Mattia Merluzzi, Miltiadis C. Filippou, Leonardo Gomes Baltar +1
Currently, the world experiences an unprecedentedly increasing generation of application data, from sensor measurements to video streams, thanks to the extreme connectivity capabil…
Dynamic Edge Computing empowered by Reconfigurable Intelligent Surfaces
Paolo Di Lorenzo, Mattia Merluzzi, Emilio Calvanese Strinati +1
In this paper, we propose a novel algorithm for energy-efficient, low-latency dynamic mobile edge computing (MEC), in the context of beyond 5G networks endowed with Reconfigurable…
Discontinuous Computation Offloading for Energy-Efficient Mobile Edge Computing
Mattia Merluzzi, Nicola di Pietro, Paolo Di Lorenzo +2
We propose a novel strategy for energy-efficient dynamic computation offloading, in the context of edge-computing-aided beyond 5G networks. The goal is to minimize the energy consu…
The edge cloud: A holistic view of communication, computation and caching
Sergio Barbarossa, Stefania Sardellitti, Elena Ceci +1
The evolution of communication networks shows a clear shift of focus from just improving the communications aspects to enabling new important services, from Industry 4.0 to automat…