Francesco Gringoli

An AI-Enhanced Framework for Secure and Trustworthy 6G Services: The PAISES-6G Approach

Pablo Andrés Cáceres Serrano, Cristóbal Arellano, Manuela Bargis, Luna Bianchi et autres

6G networks will rely on open, multi-vendor, AI-driven architectures (e.g. O-RAN, CAMARA) that widen the attack surface. Quantum computing adds a further threat to current cryptography. This paper presents the PAISES-6G (Pioneering AI-enhanced SEcure 6G Services framework) approach, which treats security, trust …

es, it, us, cy, ua, gb, pl (code pays fourni par la source)

An AI-Enhanced Framework for Secure and Trustworthy 6G Services: The PAISES-6G Approach

Pablo Andrés Cáceres Serrano, Cristóbal Arellano, Manuela Bargis, Luna Bianchi et autres

6G networks will rely on open, multi-vendor, AI-driven architectures (e.g. O-RAN, CAMARA) that widen the attack surface. Quantum computing adds a further threat to current cryptography. This paper presents the PAISES-6G (Pioneering AI-enhanced SEcure 6G Services framework) approach, which treats security, trust …

es, it, us, cy, ua, gb, pl (code pays fourni par la source)

A Stakeholder-Centric Security Analysis of the eSIM Ecosystem

Matteo Fanfarillo, Lorenzo Valeriani, Simone Festa, Francesco Gringoli et autres

it (code pays fourni par la source)

Rethinking Power Allocation in OFDMA: A Throughput-Optimized Multi-User Strategy

Giovanni Perin, Giovanni Angelo Alghisi, Aaron Kweku Amankwah, Francesco Gringoli

Modern networks rely on orthogonal frequency division multiple access (OFDMA) to efficiently allocate bandwidth among multiple users. While resource allocation mechanisms primarily focus on bandwidth distribution, transmit power is typically flat along the spectrum, potentially limiting achievable data rates due to heterogeneous …

it (code pays fourni par la source)

Same Signal, Different Story: Demystifying Receiver Effects in Wi-Fi Channel State Information

Fabian Portner, Francesco Gringoli, Matthias Hollick, Arash Asadi

Wi-Fi sensing has emerged as a versatile tool for tasks such as localization, gesture recognition, and vital-sign monitoring, enabling applications from smart environments to personalized healthcare. However, sensing accuracy often significantly degrades when pretrained models are deployed across different commodity receivers. We …

Preliminary Insights in Chronos Frequency Data Understanding and Reconstruction

Alessandro Pagani, Marco Cominelli, Liying Han, Gaofeng Dong et autres

This paper presents a preliminary analysis of the ability of Chronos foundation model to process and internally represent frequency domain information. Foundation models that process time-series data offer practitioners a unified architecture capable of learning generic temporal representations across diverse tasks and …

Towards Causally Interpretable Wi-Fi CSI-Based Human Activity Recognition with Discrete Latent Compression and LTL Rule Extraction

Luca Cotti, Luca Lavazza, Marco Cominelli, Liying Han et autres

We address Human Activity Recognition (HAR) utilizing Wi-Fi Channel State Information (CSI) under the joint requirements of causal interpretability, symbolic controllability, and direct operation on high-dimensional raw signals. Deep neural models achieve strong predictive performance on CSI-based HAR (CHAR), yet rely on …

Fingerprinting the eSIM Ecosystem: An Empirical Study of Provisioning Infrastructures

Matteo Fanfarillo, Lorenzo Valeriani, Francesco Gringoli, Giuseppe Bianchi

The embedded SIM (eSIM) is rapidly reshaping how mobile devices connect to networks, enabling seamless activation and provisioning without the need for physical SIM cards. Unlike traditional SIMs, the eSIM ecosystem introduces a significantly more complex landscape, where the direct relationship between …

it (code pays fourni par la source)

Data and Code for "Same Signal, Different Story: Demystifying Receiver Effects in Wi-Fi Channel State Information"

Fabian Portner, Arash Asadi, Francesco Gringoli, Matthias Hollick

# Data and code for "Same Signal, Different Story: Demystifying Receiver Effects in Wi-Fi Channel State Information" The dataset(s) here were collected with a Wi-Fi testbed of eight different receivers: 2x Asus RT-AC86U2x ESP32-S31x Intel IWL53001x Intel AX2101x Qualcomm Atheros QCA AR94621x …

Same Signal, Different Story: Demystifying Receiver Effects in Wi-Fi Channel State Information

Fabian Portner, Francesco Gringoli, Matthias Hollick, Arash Asadi

Wi-Fi sensing has emerged as a versatile tool for tasks such as localization, gesture recognition, and vital-sign monitoring, enabling applications from smart environments to personalized healthcare. However, sensing accuracy often significantly degrades when pretrained models are deployed across different commodity receivers. We …

nl, it, de (code pays fourni par la source)

BRISC: A Dataset of Channel Measurements at 5 GHz With a Reflective Intelligent Surface

Mattia Piana, Giovanni Angelo Alghisi, Anna V. Guglielmi, Giovanni Bortoloni Perin et autres

We introduce the broadband reconfigurable intelligent surface (RIS) channel (BRISC) dataset. The dataset comprises measurements of channel state information (CSI) collected at 5.53 GHz using a 256-element RIS with binary states. In the measurement campaign, the transmitter and receiver are two software …

BRISC: A Dataset of Channel Measurements With a Reconfigurable Intelligent Surface at 5 GHz

Mattia Piana, Giovanni Angelo Alghisi, Anna V. Guglielmi, Giovanni Perin et autres

This repository contains: antennaLog_posX.mat: refers to the CSI acquisition with the log-periodic antenna (X indicates the position index of the TX antenna) antennaDipole_posX.mat: refers to the CSI acquisition with the dipole antenna configurations_10000: the 10k RIS configurations used represented in hexadexial values. …

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