14 papers
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…
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…
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…
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,…
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…
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…