activity
20202023
most citedMulti-Person Continuous Tracking and Identification from mm-Wave micro-Doppler Signatures

123 citations · 336 across the 8 of their papers we have counts for

collaborators

8 papers

cs.NI2023★ 23 cited

Wi-BFI: Extracting the IEEE 802.11 Beamforming Feedback Information from Commercial Wi-Fi Devices

Khandaker Foysal Haque, Francesca Meneghello, Francesco Restuccia

Recently, researchers have shown that the beamforming feedback angles (BFAs) used for Wi-Fi multiple-input multiple-output (MIMO) operations can be effectively leveraged as a proxy…

eess.SP2023★ 38 cited

A CSI Dataset for Wireless Human Sensing on 80 MHz Wi-Fi Channels

Francesca Meneghello, Nicolò Dal Fabbro, Domenico Garlisi +2

In the last years, several machine learning-based techniques have been proposed to monitor human movements from Wi-Fi channel readings. However, the development of domain-adaptive…

cs.NI2023★ 12 cited

BeamSense: Rethinking Wireless Sensing with MU-MIMO Wi-Fi Beamforming Feedback

Khandaker Foysal Haque, Milin Zhang, Francesca Meneghello +1

In this paper, we propose BeamSense, a completely novel approach to implement standard-compliant Wi-Fi sensing applications. Wi-Fi sensing enables game-changing applications in rem…

cs.NI2022★ 59 cited

Toward Integrated Sensing and Communications in IEEE 802.11bf Wi-Fi Networks

Francesca Meneghello, Cheng Chen, Carlos Cordeiro +1

As Wi-Fi becomes ubiquitous in public and private spaces, it becomes natural to leverage its intrinsic ability to sense the surrounding environment to implement groundbreaking wire…

cs.NI2022★ 15 cited

DeepCSI: Rethinking Wi-Fi Radio Fingerprinting Through MU-MIMO CSI Feedback Deep Learning

Francesca Meneghello, Michele Rossi, Francesco Restuccia

We present DeepCSI, a novel approach to Wi-Fi radio fingerprinting (RFP) which leverages standard-compliant beamforming feedback matrices to authenticate MU-MIMO Wi-Fi devices on t…

cs.NI2021★ 32 cited

EASE: Energy-Aware Job Scheduling for Vehicular Edge Networks With Renewable Energy Resources

Giovanni Perin, Francesca Meneghello, Ruggero Carli +2

The energy sustainability of multi-access edge computing (MEC) platforms is here addressed by developing Energy-Aware job Scheduling at the Edge (EASE), a computing resource schedu…

eess.SP2021★ 34 cited

RAPID: Retrofitting IEEE 802.11ay Access Points for Indoor Human Detection and Sensing

Jacopo Pegoraro, Jesus Omar Lacruz, Francesca Meneghello +3

In this work we present RAPID, the first joint communication and radar system based on next-generation IEEE 802.11ay WiFi networks operating in the 60 GHz band. Unlike existing app…

eess.SP2020★ 123 cited

Multi-Person Continuous Tracking and Identification from mm-Wave micro-Doppler Signatures

Jacopo Pegoraro, Francesca Meneghello, Michele Rossi

In this work, we investigate the use of backscattered mm-wave radio signals for the joint tracking and recognition of identities of humans as they move within indoor environments.…