Search Results - wi-fi

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SplitBeam: Rethinking Beamforming Feedback in MU-MIMO Wi-Fi Systems Through Split Neural Networks

SplitBeam uses a split deep neural network to optimize Wi-Fi beamforming, improving connectivity and reducing interference by processing the channel state information matrix with machine learning. Copy Image URL via instructions below https://nu.testtechnologypublisher.com/files/sites/mark-saulich-9.jpg Background: Contemporary Wi-Fi networks...

Published: 10/15/2024 | Inventor(s): Niloofar Bahadori, Francesco Restuccia, Marco Levorato, Yoshitomo Matsubara

Keywords(s): Deep learning, MU-MIMO, Split Computing, Wi-Fi

Category(s): Technology Classifications > 3. Computer Science

ReWiS: Reliable Wi-Fi Sensing Through Few-Shot Multi-Antenna Multi-Receiver CSI Learning

ReWiS improves Wi-Fi sensing accuracy using multi-antenna and multi-frame CSI, employing few-shot learning for quick adaptation with minimal data in applications like remote healthcare and security. Copy Image URL via instructions below https://nu.testtechnologypublisher.com/files/sites/mark-saulich-8.jpg Background: The field of Wi-Fi...

Published: 10/15/2024 | Inventor(s): Niloofar Bahadori, Francesco Restuccia

Keywords(s): 5G Networks, 6G, Wi-Fi

Category(s): Technology Classifications, Technology Classifications > WIoT, Technology Classifications > 3. Computer Science > IoT

Method for Spectrum Sharing by Cellular and WiFi Networks Based on Cognitive Beamforming

INV-19022 Background In today’s cellular world mobile data traffic is increasing at an unprecedented rate, which poses a significant burden on the capacity of the underlying wireless network infrastructure - a problem often referred to as spectrum crunch. To address this challenge, researchers have been exploring new spectrum management/sharing...

Published: 9/10/2024 | Inventor(s): Lorenzo Bertizzolo, Tommaso Melodia

Keywords(s): 5g NR, Spectral Efficiency, Spectrum Sharing, Unlicensed Spectrum Band, Wi-Fi

Category(s): -Communications, -Networks, Technology Classifications > 3. Computer Science > Network communications

Mechanisms for Adversarial Machine Learning in Wireless Systems

AI-driven technology enhances real-time wireless signal classification and transceiver adjustments through adaptive neural networks Copy Image URL via instructions below https://nu.testtechnologypublisher.com/files/sites/mark-saulich-20.jpg Background: Wireless machine learning systems are increasingly critical for automated decision-making...

Published: 9/10/2024 | Inventor(s): Francesco Restuccia, Salvatore D'Oro, Tommaso Melodia

Keywords(s): IoT, Machine Learning, Wi-Fi

Category(s): Technology Classifications > 3. Computer Science > Software, Technology Classifications > 3. Computer Science

Method and Apparatus for Efficient Access Point Discovery Based on Learning CSI in Dense Wi-Fi Networks

INV-20082 Background Consider a building where Access Points (APs) are deployed to provide WiFi connectivity. When a Wi-Fi device such as a smartphone, tablet, or laptop enters the building, before being able to communicate with the Internet, it needs to establish a connection with the AP. Legacy procedures require the client to scan the neighborhood...

Published: 9/10/2024 | Inventor(s): Kaushik Chowdhury, Kunal Sankhe, Dheryta Jaisinghani

Keywords(s): Access Point, Artificial intelligence, Machine Learning, Wi-Fi

Category(s): -Networks, -Communications, Technology Classifications > 3. Computer Science > IoT