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20182026
most citedLyapunov-Driven Deep Reinforcement Learning for Edge Inference Empowered by Reconfigurable Intelligent Surfaces

20 citations · 37 across the 25 of their papers we have counts for

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Showing 2026Show all

5 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.GT2026

Game-Theoretic Latent Space Alignment for Multi-user Semantic MIMO Communications

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

Semantic communications enable AI-native wireless systems by mapping raw data into compressed task-oriented latent representations. However, independently trained agents often rely…

eess.SP2026

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…

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,…

eess.SY2026

Towards Sustainable 6G: A Holistic View of Trade-offs and Enablers

Mattia Merluzzi, Olivier Bouchet, Ali Balador +9

The sixth generation of mobile networks (6G) can play a central role in shaping a sustainable future, the most compelling contemporary challenge. Connecting the unconnected, reduci…