no code implementations • 25 Mar 2024 • Simone Fiorellino, Claudio Battiloro, Emilio Calvanese Strinati, Paolo Di Lorenzo
This paper presents a novel framework for goal-oriented semantic communication, leveraging relative representations to mitigate semantic mismatches via latent space alignment.
no code implementations • 28 Feb 2024 • Emilio Calvanese Strinati, George C. Alexandropoulos, Madhusudan Giyyarpuram, Philippe Sehier, Sami Mekki, Vincenzo Sciancalepore, Maximilian Stark, Mohamed Sana, Benoit Denis, Maurizio Crozzoli, Navid Amani, Placido Mursia, Raffaele D Errico, Mauro Boldi, Francesca Costanzo, Francois Rivet, Henk Wymeerschx
This paper introduces the concept of Distributed Intelligent integrated Sensing and Communications (DISAC), which expands the capabilities of Integrated Sensing and Communications (ISAC) towards distributed architectures.
no code implementations • 18 Feb 2024 • Emilio Calvanese Strinati, George C. Alexandropoulos, Navid Amani, Maurizio Crozzoli, Giyyarpuram Madhusudan, Sami Mekki, Francois Rivet, Vincenzo Sciancalepore, Philippe Sehier, Maximilian Stark, Henk Wymeersch
This paper introduces the distributed and intelligent integrated sensing and communications (DISAC) concept, a transformative approach for 6G wireless networks that extends the emerging concept of integrated sensing and communications (ISAC).
no code implementations • 12 Feb 2024 • Emilio Calvanese Strinati, Paolo Di Lorenzo, Vincenzo Sciancalepore, Adnan Aijaz, Marios Kountouris, Deniz Gündüz, Petar Popovski, Mohamed Sana, Photios A. Stavrou, Beatriz Soret, Nicola Cordeschi, Simone Scardapane, Mattia Merluzzi, Lanfranco Zanzi, Mauro Boldi Renato, Tony Quek, Nicola di Pietro, Olivier Forceville, Francesca Costanzo, Peizheng Li
Recent advances in AI technologies have notably expanded device intelligence, fostering federation and cooperation among distributed AI agents.
no code implementations • 19 Jan 2024 • Tomás Hüttebräucker, Mohamed Sana, Emilio Calvanese Strinati
The main contribution of this paper is two-fold.
no code implementations • 6 Dec 2023 • Francesco Binucci, Mattia Merluzzi, Paolo Banelli, Emilio Calvanese Strinati, Paolo Di Lorenzo
In this work, we explore the opportunity of DNN splitting at the edge of 6G wireless networks to enable low energy cooperative inference with target delay and accuracy with a goal-oriented perspective.
no code implementations • 30 Nov 2023 • Christo Kurisummoottil Thomas, Emilio Calvanese Strinati, Walid Saad
In this paper, a pragmatic semantic communication framework that enables effective goal-oriented information sharing between two-intelligent agents is proposed.
no code implementations • 21 Oct 2023 • Paolo Di Lorenzo, Mattia Merluzzi, Francesco Binucci, Claudio Battiloro, Paolo Banelli, Emilio Calvanese Strinati, Sergio Barbarossa
Internet of Things (IoT) applications combine sensing, wireless communication, intelligence, and actuation, enabling the interaction among heterogeneous devices that collect and process considerable amounts of data.
no code implementations • 25 Aug 2023 • Mattia Merluzzi, Miltiadis C. Filippou, Leonardo Gomes Baltar, Markus D. Muek, Emilio Calvanese Strinati
Specifically, we address the scenario of an eMBB service, i. e., a user uploading a video stream, interfering with an edge inference system, in which a user uploads images to a Mobile Edge Host that runs a classification task.
no code implementations • 4 Aug 2023 • Mohamed Sana, Emilio Calvanese Strinati
To address this problem, this paper proposes a new semantic channel equalizer to counteract and limit the critical ambiguity in message interpretation.
no code implementations • 10 Nov 2022 • Fatima Ezzahra Airod, Mattia Merluzzi, Antonio Clemente, Emilio Calvanese Strinati
In line with this vision, this paper proposes an online adaptive method to mitigate the EMFE under end-to-end delay constraints of a computation offloading service, in the context of RIS and multi-access edge computing (MEC)-aided wireless networks.
no code implementations • 27 Apr 2022 • Mattia Merluzzi, Serge Bories, Emilio Calvanese Strinati
To the best of our knowledge, this is the first work addressing the problem of energy and exposure aware computation offloading.
no code implementations • 21 Apr 2022 • Mattia Merluzzi, Claudio Battiloro, Paolo Di Lorenzo, Emilio Calvanese Strinati
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), and finally processed remotely to output the result of training and/or inference phases.
no code implementations • 20 Apr 2022 • Mattia Merluzzi, Miltiadis C. Filippou, Leonardo Gomes Baltar, Emilio Calvanese Strinati
Also, ensemble inference is shown to improve system-wide energy efficiency and even achieve higher goal effectiveness, as compared to the standalone case for some system parameterizations.
no code implementations • 21 Dec 2021 • Paolo Di Lorenzo, Mattia Merluzzi, Emilio Calvanese Strinati, Sergio Barbarossa
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 Intelligent Surfaces (RISs).
no code implementations • 14 Oct 2021 • Mohamed Sana, Emilio Calvanese Strinati
Back to Shannon's information theory, the goal of communication has long been to guarantee the correct reception of transmitted messages irrespective of their meaning.
no code implementations • 4 Jun 2021 • Mohamed Sana, Nicola di Pietro, Emilio Calvanese Strinati
We study the problem of user association, namely finding the optimal assignment of user equipment to base stations to achieve a targeted network performance.
no code implementations • 31 Mar 2021 • Mohamed Sana, Mattia Merluzzi, Nicola di Pietro, Emilio Calvanese Strinati
Then, based on Lyapunov stochastic optimization tools, we decouple the formulated problem into a CPU scheduling problem and a radio resource allocation problem to be solved in a per-slot basis.
no code implementations • 4 Nov 2020 • Emilio Calvanese Strinati, Sergio Barbarossa
The idea is that, whenever communication occurs to convey meaning or to accomplish a goal, what really matters is the impact that the correct reception/interpretation of a packet is going to have on the goal accomplishment.
no code implementations • 8 Aug 2020 • Mattia Merluzzi, Nicola di Pietro, Paolo Di Lorenzo, Emilio Calvanese Strinati, Sergio Barbarossa
We propose a novel strategy for energy-efficient dynamic computation offloading, in the context of edge-computing-aided beyond 5G networks.
no code implementations • 16 Jun 2020 • Mohamed Sana, Antonio De Domenico, Wei Yu, Yves Lostanlen, Emilio Calvanese Strinati
Network densification and millimeter-wave technologies are key enablers to fulfill the capacity and data rate requirements of the fifth generation (5G) of mobile networks.
Multi-agent Reinforcement Learning reinforcement-learning +1