activity
20192026
most citedA Tutorial on 5G Positioning

84 citations · 231 across the 13 of their papers we have counts for

collaborators

13 papers

eess.SP2026

Human Walking Sensing and Pose Estimation in the 6 GHz Band Using Amplitude and Phase CSI

Zhaorui Yin, Mattia Brambilla, Monica Nicoli

This paper investigates human pose estimation from Orthogonal Frequency-Division Multiplexing (OFDM) signals in an indoor multistatic wireless network operating in the 6 GHz band.…

eess.SY2026

Highway Readiness Assessment for SAE Levels of Automation and V2X Notification

Lorenzo Italiano, Federico Marino, Mattia Brambilla +3

While highway automation is advancing rapidly, road operators still lack practical methods to assess the readiness of their infrastructures for supporting automated driving systems…

eess.SP2026

Towards 6G Single-Anchor Vehicle Localization Exploiting Radio-Reflective Road Markings in Tunnel Environments

Lorenzo Italiano, Mattia Brambilla, Monica Nicoli

Accurate vehicular localization remains a key challenge for cooperative intelligent transport systems (C-ITS), especially in areas without global navigation satellite system (GNSS)…

eess.SP2025

Target Classification for Integrated Sensing and Communication in Industrial Deployments

Luca Barbieri, Marcus Henninger, Paolo Tosi +4

Integrated Sensing and Communication (ISAC) systems enable cellular networks to jointly operate as communication technology and sense the environment. While opportunities and poten…

eess.SP2025

HoloTrace: a Location Privacy-Preserving Framework for mmWave MIMO-OFDM Systems

Lorenzo Italiano, Alireza Pourafzal, Hui Chen +4

The technological innovation towards 6G cellular networks introduces unprecedented capabilities for user equipment (UE) localization, but it also raises serious concerns about phys…

eess.SP2024★ 29 cited

Deep Learning-based Cooperative LiDAR Sensing for Improved Vehicle Positioning

Luca Barbieri, Bernardo Camajori Tedeschini, Mattia Brambilla +1

Accurate positioning is known to be a fundamental requirement for the deployment of Connected Automated Vehicles (CAVs). To meet this need, a new emerging trend is represented by c…

eess.SP2023★ 84 cited

A Tutorial on 5G Positioning

Lorenzo Italiano, Bernardo Camajori Tedeschini, Mattia Brambilla +3

The widespread adoption of the fifth generation (5G) of cellular networks has brought new opportunities for the development of localization-based services. High-accuracy positionin…

eess.SP2021★ 37 cited

Cooperative Localization and Multitarget Tracking in Agent Networks with the Sum-Product Algorithm

Mattia Brambilla, Domenico Gaglione, Giovanni Soldi +7

This paper addresses the problem of multitarget tracking using a network of sensing agents with unknown positions. Agents have to both localize themselves in the sensor network and…

eess.SP2021★ 32 cited

Fastening the Initial Access in 5G NR Sidelink for 6G V2X Networks

Marouan Mizmizi, Francesco Linsalata, Mattia Brambilla +8

The ever-increasing demand for intelligent, automated, and connected mobility solutions pushes for the development of an innovative sixth Generation (6G) of cellular networks. A ra…

cs.NI2021★ 12 cited

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,…

eess.SP2021

Sensor-Aided Beamwidth and Power Control for Next Generation Vehicular Communications

Dario Tagliaferri, Mattia Brambilla, Monica Nicoli +1

Ultra-reliable low-latency Vehicle-to-Everything (V2X) communications are needed to meet the extreme requirements of enhanced driving applications. Millimeter-Wave (24.25-52.6 GHz)…

eess.SP2019★ 22 cited

Inertial Sensor Aided mmWave Beam Tracking to Support Cooperative Autonomous Driving

Mattia Brambilla, Monica Nicoli, Sergio Savaresi +1

This paper presents an inertial sensor aided technique for beam alignment and tracking in massive multiple-input multiple-output (MIMO) vehicle-to-vehicle (V2V) communications base…

cs.IT2019★ 15 cited

RF-Assisted Free-Space Optics for 5G Vehicle-to-Vehicle Communications

Mattia Brambilla, Andrea Matera, Dario Tagliaferri +2

Vehicle-to-Vehicle (V2V) communications are being proposed, tested and deployed to improve road safety and traffic efficiency. However, the automotive industry poses strict require…