Search Results for author: Christian Mazzucco

Found 7 papers, 0 papers with code

IMT to Satellite Stochastic Interference Modeling and Coexistence Analysis of Upper 6 GHz Band Service

no code implementations14 Sep 2022 Reza Aghazadeh Ayoubi, Dario Tagliaferri, Filippo Morandi, Luca Rinaldi, Laura Resteghini, Christian Mazzucco, Umberto Spagnolini

The surging capacity demands of 5G networks and the limited coverage distance of high frequencies like millimeter wave (mmW) and sub-terahertz (THz) bands have led to consider the upper 6GHz (U6G) spectrum for radio access.

Motion Estimation and Compensation in Automotive MIMO SAR

no code implementations25 Jan 2022 Marco Manzoni, Dario Tagliaferri, Marco Rizzi, Stefano Tebaldini, Andrea Virgilio Monti-Guarnieri, Claudio Maria Prati, Monica Nicoli, Ivan Russo, Sergi Duque, Christian Mazzucco, Umberto Spagnolini

With the advent of self-driving vehicles, autonomous driving systems will have to rely on a vast number of heterogeneous sensors to perform dynamic perception of the surrounding environment.

Autonomous Driving Motion Estimation

Multi-Beam Automotive SAR Imaging in Urban Scenarios

no code implementations28 Oct 2021 Marco Rizzi, Marco Manzoni, Stefano Tebaldini, Andrea Virgilio Monti-Guarnieri, Claudio Maria Prati, Dario Tagliaferri, Monica Nicoli, Ivan Russo, Christian Mazzucco, Simón Tejero Alfageme, Umberto Spagnolini

Automotive synthetic aperture radar (SAR) systems are rapidly emerging as a candidate technological solution to enable a high-resolution environment mapping for autonomous driving.

Autonomous Driving

Deep Learning of Transferable MIMO Channel Modes for 6G V2X Communications

no code implementations31 Aug 2021 Lorenzo Cazzella, Dario Tagliaferri, Marouan Mizmizi, Damiano Badini, Christian Mazzucco, Matteo Matteucci, Umberto Spagnolini

Algebraic Low-rank (LR) channel estimation exploits space-time channel sparsity through the computation of position-dependent MIMO channel eigenmodes leveraging recurrent training vehicle passages in the coverage cell.

Position Transfer Learning

Enabling Simulation-Based Optimization Through Machine Learning: A Case Study on Antenna Design

no code implementations29 Aug 2019 Paolo Testolina, Mattia Lecci, Mattia Rebato, Alberto Testolin, Jonathan Gambini, Roberto Flamini, Christian Mazzucco, Michele Zorzi

Therefore, it is possible to perform a global numerical optimization over the vast multi-dimensional parameter space, in a fraction of the time that would be required by a simple brute-force search.

BIG-bench Machine Learning

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