11 citations · 16 across the 11 of their papers we have counts for
12 papers
Zero-Overhead Unambiguous Velocity Estimation in Multiband ISAC Systems Under Random Traffic
Aurora Peloso, Michele Rossi, Jacopo Pegoraro
This paper proposes an original method for estimating the velocity of a target by leveraging the multiband capabilities of modern Integrated Sensing And Communication (ISAC) system…
Sparse Spike Encoding of Channel Responses for Energy Efficient Human Activity Recognition
Eleonora Cicciarella, Riccardo Mazzieri, Jacopo Pegoraro +1
ISAC enables pervasive monitoring, but modern sensing algorithms are often too complex for energy-constrained edge devices. This motivates the development of learning techniques th…
Machine Learning on the Edge for Sustainable IoT Networks: A Systematic Literature Review
Luisa Schuhmacher, Jimmy Fernandez Landivar, Ihsane Gryech +3
The Internet of Things (IoT) has become integral to modern technology, enhancing daily life and industrial processes through seamless connectivity. However, the rapid expansion of…
Convolutional Spiking-based GRU Cell for Spatio-temporal Data
Yesmine Abdennadher, Eleonora Cicciarella, Michele Rossi
Spike-based temporal messaging enables SNNs to efficiently process both purely temporal and spatio-temporal time-series or event-driven data. Combining SNNs with Gated Recurrent Un…
Toward Multiband Sensing in FR3: Frequency Anisotropy Characterization and Non-Contiguous Bands Aggregation Algorithms
Jacopo Pegoraro, Gianmaria Ventura, Dario Tagliaferri +4
Frequency Range 3 (FR3) in the 7-24 GHz band will be the new spectrum for 6G wireless networks. The bandwidth availability and diversity of FR3 offer unprecedented opportunities fo…
Spatiotemporal Radar Gesture Recognition with Hybrid Spiking Neural Networks: Balancing Accuracy and Efficiency
Riccardo Mazzieri, Eleonora Cicciarella, Jacopo Pegoraro +2
Radar-based Human Activity Recognition (HAR) offers privacy and robustness over camera-based methods, yet remains computationally demanding for edge deployment. We present the firs…
Open-Set Gait Recognition from Sparse mmWave Radar Point Clouds
Riccardo Mazzieri, Jacopo Pegoraro, Michele Rossi
The adoption of Millimeter-Wave (mmWave) radar devices for human sensing, particularly gait recognition, has recently gathered significant attention due to their efficiency, resili…
AsyMov: Integrated Sensing and Communications with Asynchronous Moving Devices
Gianmaria Ventura, Michele Rossi, Jacopo Pegoraro
Estimating the Doppler frequency shift caused by moving targets is one of the key objectives of Integrated Sensing And Communication (ISAC) systems, as it enables applications such…
HiSAC: High-Resolution Sensing with Multiband Communication Signals
Jacopo Pegoraro, Jesus O. Lacruz, Michele Rossi +1
Integrated Sensing And Communication (ISAC ) systems are expected to perform accurate radar sensing while having minimal impact on communication. Ideally, sensing should only reuse…
Bistatic Doppler Frequency Estimation with Asynchronous Moving Devices for Integrated Sensing and Communications
Gianmaria Ventura, Zaman Bhalli, Michele Rossi +1
In this letter, we present for the first time a method to estimate the bistatic Doppler frequency of a target with clock asynchronous and mobile Integrated Sensing And Communicatio…
Sensing in Bi-Static ISAC Systems with Clock Asynchronism: A Signal Processing Perspective
Kai Wu, Jacopo Pegoraro, Francesca Meneghello +9
Integrated Sensing and Communication (ISAC) has been identified as a pillar usage scenario for the impending 6G era. Bi-static sensing, a major type of sensing in ISAC, is promisin…
Learned Spike Encoding of the Channel Response for Low-Power Environment Sensing
Eleonora Cicciarella, Riccardo Mazzieri, Jacopo Pegoraro +1
Radio Frequency (RF) sensing holds the potential for enabling pervasive monitoring applications. However, modern sensing algorithms imply complex operations, which clash with the e…