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Category: Journal

O-RAN xApps: Survey and Research Challenges

Arman Elyasi, Andrew Ashdown, K M Rumman, Francesco Restuccia

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

K. F. Haque, M. Zhang, F. Meneghello, and F. Restuccia

Computer Networks

Evaluating the Impact of Channel Feedback Quantization and Grouping in IEEE 802.11 MIMO Wi-Fi Networks

F. Meneghello , K. F. Haque and F. Restuccia

IEEE Wireless Communications Letters

WHACK: Adversarial Beamforming in MU-MIMO Through Compressed Feedback Poisoning

F. Meneghello, F. Restuccia, M. Rossi

IEEE Transactions on Wireless Communications

OffloaDNN: Shaping DNNs for Scalable Offloading of Computer Vision Tasks at the Edge

C. Puligheddu, N. Varshney, T. Hassan, J. Ashdown, F. Restuccia, C. Fabiana Chiasserini

IEEE 44th International Conference on Distributed Computing Systems (ICDCS)

Toward Wireless System and Circuit Co-Design for the Internet of Self-Adaptive Things

D. Das, M. Abdi, M. Liu, M. Onabajo, F. Restuccia

IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)

Sub-6 GHz Energy Detection-Based Fast On-Chip Analog Spectrum Sensing with Learning-Driven Signal Classification

A. Mittal, M. Zhang, T. Gourousis, Z. Zhang, Y. Fei, M. Onabajo, F. Restuccia, A. Shrivastava

IEEE Internet of Things Journal

SDR-LoRa, an open-source, full-fledged implementation of LoRa on Software-Defined Radios: Design and potential exploitation

F. Busacca, S. Mangione, S. Palazzo, F. Restuccia, and I. Tinnirello

Computer Networks (COMNET)

Sensing in Bi-Static ISAC Systems with Clock Asynchronism: A Signal Processing Perspective

K. Wu, J. Pegoraro, F. Meneghello, JA. Zhang, JO. Lacruz, J. Widmer, F. Restuccia, M. Rossi, X. Huang, D. Zhang, G. Caire, Y. Guo

IEEE Signal Processing Magazine (IEEE SPM)

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

F. Meneghello, C. Chen, C. Cordeiro, and F. Restuccia

IEEE Communications Magazine

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    RECENT PUBLICATIONS:
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    ENCORE: A Neural Collapse Perspective on Out-of-Distribution Detection in Deep Neural Networks
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