2 citations · 3 across the 5 of their papers we have counts for
5 papers
Goal-Oriented Learning at the Edge: Graph Neural Networks Over-the-Air for Blockage Prediction
Lorenzo Mario Amorosa, Zhan Gao, Tony Chahoud +4
Sixth-generation (6G) wireless networks evolve from connecting devices to connecting intelligence. The focus turns to Goal-Oriented Communications, where the effectiveness of commu…
Learning a Decentralized Medium Access Control Protocol for Shared Message Transmission
Lorenzo Mario Amorosa, Zhan Gao, Roberto Verdone +2
In large-scale Internet of things networks, efficient medium access control (MAC) is critical due to the growing number of devices competing for limited communication resources. In…
TailO-RAN: O-RAN Control on Scheduler Parameters to Tailor RAN Performance
Nicolo Longhi, Salvatore D'Oro, Leonardo Bonati +3
The traditional black-box and monolithic approach to Radio Access Networks (RANs) has heavily limited flexibility and innovation. The Open RAN paradigm, and the architecture propos…
A Distributed Neural Linear Thompson Sampling Framework to Achieve URLLC in Industrial IoT
Francesco Pase, Marco Giordani, Sara Cavallero +4
Industrial Internet of Things (IIoT) networks will provide Ultra-Reliable Low-Latency Communication (URLLC) to support critical processes underlying the production chains. However,…
Multi-Agent Reinforcement Learning for Power Control in Wireless Networks via Adaptive Graphs
Lorenzo Mario Amorosa, Marco Skocaj, Roberto Verdone +1
The ever-increasing demand for high-quality and heterogeneous wireless communication services has driven extensive research on dynamic optimization strategies in wireless networks.…