24 citations · 45 across the 8 of their papers we have counts for
9 papers
A Thorough Analysis of Radio Resource Assignment for UAV-Enhanced Vehicular Sidelink Communications
Francesca Conserva, Francesco Linsalata, Marouan Mizmizi +4
The rapid expansion of connected and autonomous vehicles (CAVs) and the shift towards millimiter-wave (mmWave) frequencies offer unprecedented opportunities to enhance road safety…
An End-To-End Analysis of Deep Learning-Based Remaining Useful Life Algorithms for Satefy-Critical 5G-Enabled IIoT Networks
Lorenzo Mario Amorosa, Nicolò Longhi, Giampaolo Cuozzo +4
Remaining Useful Life (RUL) prediction is a critical task that aims to estimate the amount of time until a system fails, where the latter is formed by three main components, that i…
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…
A New Scheduler for URLLC in 5G NR IIoT Networks with Spatio-Temporal Traffic Correlations
Sara Cavallero, Nicole Sarcone Grande, Francesco Pase +4
This paper explores the issue of enabling Ultra-Reliable Low-Latency Communications (URLLC) in view of the spatio-temporal correlations that characterize real 5th generation (5G) I…
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…
Distributed Resource Allocation for URLLC in IIoT Scenarios: A Multi-Armed Bandit Approach
Francesco Pase, Marco Giordani, Giampaolo Cuozzo +4
This paper addresses the problem of enabling inter-machine Ultra-Reliable Low-Latency Communication (URLLC) in future 6G Industrial Internet of Things (IIoT) networks. As far as th…
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…
Optimizations for Hardware-in-the-Loop-Based V2X Validation Platforms
Babak Mafakheri, Pierpaolo Gonnella, Alessandro Bazzi +3
Connectivity and automation are increasingly getting importance in the automotive industry, which is observing a radical change from vehicles driven by humans to fully automated an…
Packet Speed and Cost in Mobile Wireless Delay-Tolerant Networks
Riccardo Cavallari, Stavros Toumpis, Roberto Verdone +1
A mobile wireless delay-tolerant network (DTN) model is proposed and analyzed, in which infinitely many nodes are initially placed on R^2 according to a uniform Poisson point proce…