440 citations · 789 across the 16 of their papers we have counts for
16 papers
From Pilot to Precoding Design: Blind Angular Spoofing For Location Privacy in MIMO Systems
Priyanka Maity, Lorenzo Italiano, Alireza Pourafzal +4
This paper studies location privacy in uplink MIMO systems, where a user equipment seeks to spoof the angular signature observed by a single base station performing localization. W…
A Carbon Tracking Model for Federated Learning: Impact of Quantization and Sparsification
Luca Barbieri, Stefano Savazzi, Sanaz Kianoush +2
Federated Learning (FL) methods adopt efficient communication technologies to distribute machine learning tasks across edge devices, reducing the overhead in terms of data storage…
Channel-driven Decentralized Bayesian Federated Learning for Trustworthy Decision Making in D2D Networks
Luca Barbieri, Osvaldo Simeone, Monica Nicoli
Bayesian Federated Learning (FL) offers a principled framework to account for the uncertainty caused by limitations in the data available at the nodes implementing collaborative tr…
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.…
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…
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…
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,…
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)…
Opportunities of Federated Learning in Connected, Cooperative and Automated Industrial Systems
Stefano Savazzi, Monica Nicoli, Mehdi Bennis +2
Next-generation autonomous and networked industrial systems (i.e., robots, vehicles, drones) have driven advances in ultra-reliable, low latency communications (URLLC) and computin…
Federated Learning with Cooperating Devices: A Consensus Approach for Massive IoT Networks
Stefano Savazzi, Monica Nicoli, Vittorio Rampa
Federated learning (FL) is emerging as a new paradigm to train machine learning models in distributed systems. Rather than sharing, and disclosing, the training dataset with the se…
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…
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…
Implicit Cooperative Positioning in Vehicular Networks
Gloria Soatti, Monica Nicoli, Nil Garcia +3
Absolute positioning of vehicles is based on Global Navigation Satellite Systems (GNSS) combined with on-board sensors and high-resolution maps. In Cooperative Intelligent Transpor…
Partner selection in indoor-to-outdoor cooperative networks: an experimental study
Paolo Castiglione, Stefano Savazzi, Monica Nicoli +1
In this paper, we develop a partner selection protocol for enhancing the network lifetime in cooperative wireless networks. The case-study is the cooperative relayed transmission f…