activity
20172026
most citedIntra-Body Communications for Nervous System Applications: Current Technologies and Future Directions

34 citations · 121 across the 38 of their papers we have counts for

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8 papers · 1 filter

cs.NI2026

RF Intelligence for Health: Classification of SmartBAN Signals in overcrowded ISM band

Nicola Gallucci, Giacomo Aragnetti, Matteo Malagrinò +3

Accurate classification of Radio-Frequency (RF) signals is essential for reliable wearable health-monitoring systems, providing awareness of the interference conditions in which me…

cs.NI2025

Bayesian EM Digital Twins Channel Estimation

Lorenzo Del Moro, Francesco Linsalata, Marouan Mizmizi +3

This letter proposes a Bayesian channel estimation method that leverages on the a priori information provided by the Electromagnetic Digital Twin's (EM-DT) representation of the en…

cs.NI2024

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…

cs.NI2023★ 5 cited

Advancing O-RAN to Facilitate Intelligence in V2X

Eugenio Moro, Francesco Linsalata, Maurizio Magarini +2

Vehicular communications integrated with the Radio Access Network (RAN) are envisioned as a breakthrough application for the 6th generation (6G) cellular systems. However, traditio…

cs.NI2023

Open RAN-empowered V2X Architecture: Challenges, Opportunities, and Research Directions

Francesco Linsalata, Eugenio Moro, Maurizio Magarini +2

Advances in the automotive industry and the ever-increasing demand for Connected and Autonomous Vehicles (CAVs) are pushing for a new epoch of networked wireless systems. Vehicular…

cs.NI2022

IIFNet: A Fusion based Intelligent Service for Noisy Preamble Detection in 6G

Sunder Ali Khowaja, Kapal Dev, Parus Khuwaja +4

In this article, we present our vision of preamble detection in a physical random access channel for next-generation (Next-G) networks using machine learning techniques. Preamble d…