1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.NI2025
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…
cs.NI2023★ 1 cited
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…