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20232026
most citedSensing-Based Beamformed Resource Allocation in Standalone Millimeter-Wave Vehicular Networks

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.NI2026

5G NR Non-Terrestrial Networks: Open Challenges for Full-Stack Protocol Design

Francesco Rossato, Mattia Figaro, Alessandro Traspadini +7

As 5th generation (5G) networks continue to evolve, there is a growing interest toward the integration of Terrestrial Networks (TNs) and Non-Terrestrial Networks (NTNs). Specifical…

cs.NI2026

5G NR Non-Terrestrial Networks: From Early Results to the Road Ahead

Mattia Figaro, Francesco Rossato, Marco Giordani +7

This paper overviews the 3GPP 5G NR-NTN standard, detailing the evolution from Rel. 18 to 19 and innovations for Rel. 20. Using realistic ns-3 simulations validated against 3GPP ca…

cs.NI2025★ 1 cited

Sensing-Based Beamformed Resource Allocation in Standalone Millimeter-Wave Vehicular Networks

Alessandro Traspadini, Anay Ajit Deshpande, Marco Giordani +3

In 3GPP New Radio (NR) Vehicle-to-Everything (V2X), the new standard for next-generation vehicular networks, vehicles can autonomously select sidelink resources for data transmissi…

eess.SP2025

A Hybrid Model/Data-Driven Solution to Channel, Position and Orientation Tracking in mmWave Vehicular Systems

Yun Chen, Nuria González-Prelcic, Takayuki Shimizu +1

Channel tracking in millimeter wave (mmWave) vehicular systems is crucial for maintaining robust vehicle-to-infrastructure (V2I) communication links, which can be leveraged to achi…

eess.SP2023

Sparse Recovery with Attention: A Hybrid Data/Model Driven Solution for High Accuracy Position and Channel Tracking at mmWave

Yun Chen, Nuria González-Prelcic, Takayuki Shimizu +2

In this paper, we propose first a mmWave channel tracking algorithm based on multidimensional orthogonal matching pursuit algorithm (MOMP) using reduced sparsifying dictionaries, w…