98 citations · 130 across the 11 of their papers we have counts for
12 papers
IMT to Satellite Stochastic Interference Modeling and Coexistence Analysis of Upper 6 GHz Band Service
Reza Aghazadeh Ayoubi, Dario Tagliaferri, Filippo Morandi +4
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…
Localizing the Vehicle's Antenna: an Open Problem in 6G Network Sensing
Francesco Linsalata, Dario Tagliaferri, Luca Rinaldi +7
Millimeter Waves (mmW) and sub-THz frequencies are the candidate bands for the upcoming Sixth Generation (6G) of communication systems. The use of collimated beams at mmW/sub-THz t…
Towards a Heterogeneous Smart Electromagnetic Environment for Millimeter-Wave Communications: An Industrial Viewpoint
Roberto Flamini, Danilo De Donno, Jonathan Gambini +4
Fifth generation (5G) and beyond communication systems open the door to millimeter Wave (mmWave) frequency bands to leverage the extremely large operating bandwidths and deliver un…
Motion Estimation and Compensation in Automotive MIMO SAR
Marco Manzoni, Dario Tagliaferri, Marco Rizzi +8
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 en…
Residual Motion Compensation in Automotive MIMO SAR Imaging
Marco Manzoni, Marco Rizzi, Stefano Tebaldini +8
This paper deals with the analysis, estimation, and compensation of trajectory errors in automotive-based Synthetic Aperture Radar (SAR) systems. First of all, we define the geomet…
Multi-Beam Automotive SAR Imaging in Urban Scenarios
Marco Rizzi, Marco Manzoni, Stefano Tebaldini +8
Automotive synthetic aperture radar (SAR) systems are rapidly emerging as a candidate technological solution to enable a high-resolution environment mapping for autonomous driving.…
Deep Learning of Transferable MIMO Channel Modes for 6G V2X Communications
Lorenzo Cazzella, Dario Tagliaferri, Marouan Mizmizi +4
In the emerging high mobility Vehicle-to-Everything (V2X) communications using millimeter Wave (mmWave) and sub-THz, Multiple-Input Multiple-Output (MIMO) channel estimation is an…
Position-agnostic Algebraic Estimation of 6G V2X MIMO Channels via Unsupervised Learning
Lorenzo Cazzella, Dario Tagliaferri, Marouan Mizmizi +4
MIMO systems in the context of 6G Vehicle-to-Everything (V2X) will require an accurate channel knowledge to enable efficient communication. Standard channel estimation techniques,…
6G V2X Technologies and Orchestrated Sensing for Autonomous Driving
Marouan Mizmizi, Mattia Brambilla, Dario Tagliaferri +10
6G technology targets to revolutionize the mobility industry by revamping the role of wireless connections. In this article, we draw out our vision on an intelligent, cooperative,…
Channel Estimation for 6G V2X HybridSystems using Multi-Vehicular Learning
Marouan Mizmizi, Dario Tagliaferri, Damiano Badini +2
Channel estimation for hybrid Multiple Input Multiple Output (MIMO) systems at Millimeter-Waves (mmW)/sub-THz is a fundamental, despite challenging, prerequisite for an efficient d…
Enabling Simulation-Based Optimization Through Machine Learning: A Case Study on Antenna Design
Paolo Testolina, Mattia Lecci, Mattia Rebato +5
Complex phenomena are generally modeled with sophisticated simulators that, depending on their accuracy, can be very demanding in terms of computational resources and simulation ti…
Study of Realistic Antenna Patterns in 5G mmWave Cellular Scenarios
Mattia Rebato, Laura Resteghini, Christian Mazzucco +1
Large antenna arrays and millimeter-wave (mmWave) frequencies have been attracting growing attention as possible candidates to meet the high requirements of future 5G mobile networ…