activity
20182026
most citedDiscontinuous Computation Offloading for Energy-Efficient Mobile Edge Computing

36 citations · 73 across the 30 of their papers we have counts for

collaborators
Showing cs.ITShow all

8 papers · 1 filter

cs.IT2026

Low-Latency Task-Oriented Image Transmission with Opportunistic Spectrum Access

João Henrique Inacio de Souza, Mattia Merluzzi, Mateus P. Mota +2

Communication systems designed for reliable data reconstruction, rather than task-oriented communication, typically rely on separate source and channel coding and incur high latenc…

cs.IT2026

Distributed Semantic Alignment over Interference Channels: A Game-Theoretic Approach

Giuseppe Di Poce, Mattia Merluzzi, Emilio Calvanese Strinati +1

Semantic communication acts as a key enabler for effective task execution in AI-driven systems, prioritizing the extraction of the underlying meaning before transmission. However,…

cs.IT2025

Collaborative Edge Inference via Semantic Grouping under Wireless Channel Constraints

Mateus P. Mota, Mattia Merluzzi, Emilio Calvanese Strinati

In this paper, we study the framework of collaborative inference, or edge ensembles. This framework enables multiple edge devices to improve classification accuracy by exchanging i…

cs.IT2025

Joint Channel and Semantic-aware Grouping for Effective Collaborative Edge Inference

Mateus P. Mota, Mattia Merluzzi, Emilio Calvanese Strinati

We focus on collaborative edge inference over wireless, which enables multiple devices to cooperate to improve inference performance in the presence of corrupted data. Exploiting a…

cs.IT2023

Power Minimizing MEC Offloading with QoS Constraints over RIS-Empowered Communications

Mattia Merluzzi, Francesca Costanzo, Konstantinos D. Katsanos +2

This work lies at the intersection of two cutting edge technologies envisioned to proliferate in future 6G wireless systems: Multi-access Edge Computing (MEC) and Reconfigurable In…

cs.IT2023★ 20 cited

Lyapunov-Driven Deep Reinforcement Learning for Edge Inference Empowered by Reconfigurable Intelligent Surfaces

Kyriakos Stylianopoulos, Mattia Merluzzi, Paolo Di Lorenzo +1

In this paper, we propose a novel algorithm for energy-efficient, low-latency, accurate inference at the wireless edge, in the context of 6G networks endowed with reconfigurable in…

cs.IT2022

Reconfigurable Intelligent Surface Aided Mobile Edge Computing over Intermittent mmWave Links

Fatima Ezzahra Airod, Mattia Merluzzi, Paolo Di Lorenzo +1

The advent of Reconfigurable Intelligent Surfaces (RISs) in wireless communication networks unlocks the way to support high frequency radio access (e.g. in millimeter wave) while o…

cs.IT2019★ 15 cited

Resilient Design of 5G Mobile-Edge Computing Over Intermittent mmWave Links

Nicola di Pietro, Mattia Merluzzi, Emilio Calvanese Strinati +1

Two enablers of the 5th Generation (5G) of mobile communication systems are the high data rates achievable with millimeter-wave radio signals and the cloudification of the network'…