24 citations · 45 across the 6 of their papers we have counts for
6 papers
A Perception vs. Distortion Perspective on Score-Based Generative Channel Estimation
Marco Skocaj, Lukas Eller, Mate Boban
Driven by their remarkable success in computer vision and inverse problem solving, score-based models are increasingly applied to wireless communications, where they show promise a…
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…
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.…
Data-driven Predictive Latency for 5G: A Theoretical and Experimental Analysis Using Network Measurements
Marco Skocaj, Francesca Conserva, Nicol Sarcone Grande +5
The advent of novel 5G services and applications with binding latency requirements and guaranteed Quality of Service (QoS) hastened the need to incorporate autonomous and proactive…
Uplink Scheduling in Federated Learning: an Importance-Aware Approach via Graph Representation Learning
Marco Skocaj, Pedro Enrique Iturria Rivera, Roberto Verdone +1
Federated Learning (FL) has emerged as a promising framework for distributed training of AI-based services, applications, and network procedures in 6G. One of the major challenges…
Cellular Network Capacity and Coverage Enhancement with MDT Data and Deep Reinforcement Learning
Marco Skocaj, Lorenzo Mario Amorosa, Giorgio Ghinamo +4
Recent years witnessed a remarkable increase in the availability of data and computing resources in communication networks. This contributed to the rise of data-driven over model-d…