activity
20232026
collaborators

6 papers

eess.SP2026

Reliable Doppler Estimation in Asynchronous Moving ISAC Devices via IMU Integration

Zaman Bhalli, Jacopo Pegoraro, Gianmaria Ventura +2

We present an Integrated Sensing And Communication (ISAC) framework for the joint estimation of the Doppler frequency of a passive mobile target in a bistatic scenario with clock-a…

eess.SP2026

OTFS-IDMA: An Unsourced Multiple Access Scheme for Doubly-Dispersive Channels

Davide Bergamasco, Federico Clazzer, Paolo Casari

We present an unsourced multiple access (UMAC) scheme tailored to high-mobility wireless channels. The proposed construction is based on orthogonal time frequency space (OTFS) modu…

eess.SP2025

A low-PAPR Pilot Design and Optimization for OTFS Modulation

Davide Bergamasco, Federico Clazzer, Andrea Munari +1

Orthogonal time frequency space (OTFS) modulation has been proposed recently as a new waveform in the context of doubly-selective multi-path channels. This article proposes a novel…

cs.NI2024

ColosSUMO: Evaluating Cooperative Driving Applications with Colosseum

Gabriele Gemmi, Pedram Johari, Paolo Casari +3

The quest for safer and more efficient transportation through cooperative, connected and automated mobility (CCAM) calls for realistic performance analysis tools, especially with r…

eess.SP2024

Algorithm-Supervised Millimeter Wave Indoor Localization using Tiny Neural Networks

Anish Shastri, Steve Blandino, Camillo Gentile +2

The quasi-optical propagation of millimeter-wave signals enables high-accuracy localization algorithms that employ geometric approaches or machine learning models. However, most al…

eess.SP2023

Indoor Millimeter Wave Localization using Multiple Self-Supervised Tiny Neural Networks

Anish Shastri, Andres Garcia-Saavedra, Paolo Casari

We consider the localization of a mobile millimeter-wave client in a large indoor environment using multilayer perceptron neural networks (NNs). Instead of training and deploying a…