Search Results - tommaso+melodia

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Mechanism for Embedded Deep Reinforcement Learning in Wireless Internet of Things Devices

DeepRadioID uses deep learning and FIR filters for unique, energy-efficient IoT authentication, enhancing security and accuracy. https://nu.testtechnologypublisher.com/files/sites/adobestock_150511712.jpeg https://nu.testtechnologypublisher.com/files/sites/mark-saulich-25.jpg Source:Irina Strelnikova / Adobe Stock file 150511712 Background:...

Published: 1/27/2025 | Updated: 7/14/2024 | Inventor(s): Francesco Restuccia, Tommaso Melodia

Keywords(s):

Category(s): -Sensors tech, Technology Classifications > 3. Computer Science, Technology Classifications > WIoT

Methods for real-time wideband RF waveform and emission classification

Revolutionary deep learning tech for accurate, real-time spectrum sensing of wireless signals like 5G, WiFi, and Bluetooth https://nu.testtechnologypublisher.com/files/sites/mark-saulich-17.jpg Background: Spectrum sensing is crucial in wireless communications for efficiently utilizing the limited available radio frequency (RF) spectrum....

Published: 1/29/2025 | Updated: 7/14/2024 | Inventor(s): Tommaso Melodia, Milin Zhang, Salvatore D'Oro, Daniel Uvaydov, Francesco Restuccia, Clifton Robinson

Keywords(s): Deep learning, O-RAN, Spectrum sensing

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

Methods for reliable classification of wireless signals

This technology uses AI and neural networks for real-time wireless signal classification, enhancing detection accuracy and compensating for channel distortions by manipulating the waveform before transmission. https://nu.testtechnologypublisher.com/files/sites/mark-saulich-12.jpg Background: The constant evolution of networking systems...

Published: 1/27/2025 | Updated: 7/14/2024 | Inventor(s): Salvatore D'Oro, Tommaso Melodia, Francesco Restuccia

Keywords(s): Deep Reinforcement Learning, Machine Learning, wireless signals

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

Visible-Light Software-Defined Modem

Visible-Light Software-Defined Modem Self-optimizing and adaptive networks enabling multidomain communications Background Networks of autonomous and wirelessly connected sensors between unmanned aerial vehicles (UAVs) and unmanned underwater vehicles (UUVs) play a key role to accomplish a common goal in multiple domains’ applications. Some...

Published: 1/27/2025 | Updated: 3/21/2024 | Inventor(s): Kerem Enhos, Emrecan Demirors, Tommaso Melodia

Keywords(s): Optical Communication, Software-defined Networks, Visible Light Communication (VLC)

Category(s): -Sensors, Technology Classifications > 3. Computer Science > IoT, Technology Classifications > 3. Computer Science > Software, Technology Classifications > 2. Physical Science > Environmental/Clean tech, Technology Classifications > 3. Computer Science > Complex Networks, Technology Classifications > 3. Computer Science > Network communications, Technology Classifications > WIoT

DeepBeam: Coordination-Free mmWave Beam Management With Deep Waveform Learning

DeepBeam uses deep neural networks for passive, efficient 5G beam alignment, reducing latency and overhead. Copy Image URL via instructions below https://nu.testtechnologypublisher.com/files/sites/mark-saulich-18.jpg Background: The surge in mobile data traffic necessitates a new generation of wireless systems, leading to the development...

Published: 1/27/2025 | Updated: 3/21/2024 | Inventor(s): Michele Polese, Francesco Restuccia, Tommaso Melodia

Keywords(s): 5G Networks, 5g NR, Artificial intelligence, Beam, Beam Management, Communications, Deep learning, Machine Learning, Millimeter Wave Spectrum, Mobile devices, Next-generation Mobile Networks, Phased-Array

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

A unified framework for multi-access edge computing (MEC) network slicing in 5G networks

Sl-EDGE: An automated solution to handle network slicing and MEC functionalities with minimal human interaction https://nu.technologypublisher.com/files/sites/adobestock_300273788.jpeg Source: Adobe Stock By metamorworks/ File # 300273788 INV-20109 Background It has become apparent that advanced softwarization and virtualization...

Published: 1/27/2025 | Updated: 3/21/2024 | Inventor(s): Salvatore D'Oro, Tommaso Melodia, Francesco Restuccia, Leonardo Bonati

Keywords(s): 5G Networks, Cellular Networks, Edge Computing, Network Slicing

Category(s): -Networks, -Communications, Technology Classifications > WIoT

SteaLTE: Private 5G Cellular Connectivity as a Service Through Full-Stack Wireless Steganography

SteaLTE enhances 5G security with covert network slices for private, reliable, and stealthy communications.” https://nu.technologypublisher.com/files/sites/adobestock_1011326470.jpeg https://nu.testtechnologypublisher.com/files/sites/mark-saulich-14.jpg Source: By Official Adobe Stock #1011326470 Background: The surge in privacy threats...

Published: 1/27/2025 | Updated: 3/21/2024 | Inventor(s): Tommaso Melodia, Leonardo Bonati, Salvatore D'Oro, Francesco Restuccia

Keywords(s): 5G Networks, 5g NR, Cellular Networks, Next-generation Mobile Networks, Privacy, Steganography

Category(s): -Networks, -Sensors tech, Technology Classifications > 3. Computer Science, Technology Classifications > WIoT

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: 1/27/2025 | Updated: 3/21/2024 | 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, Technology Classifications > WIoT

A Deep Learning-based Polymorphic Internet of Things Platform for Reliable and Secure Wireless Communications

PolyRF uses deep learning to dynamically adapt IoT signal processing, enhancing security and mitigating spectrum crunch. Copy Image URL via instructions below https://nu.testtechnologypublisher.com/files/sites/mark-saulich-26.jpg Background: The Internet of Things (IoT) is experiencing rapid growth, with devices increasingly relying on...

Published: 1/27/2025 | Updated: 3/21/2024 | Inventor(s): Francesco Restuccia, Tommaso Melodia

Keywords(s):

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

SwarmControl: Software-Defined Drone Network Control in The Sky

INV-19059 Background Intelligent unmanned aerial vehicles (UAVs, or drones) are attracting the interest of the networking community as a “tool” to provide new capabilities, to extend the infrastructure of wireless networks, and to make it more flexible. Because of their unique characteristics such as fast deployment, high mobility,...

Published: 1/27/2025 | Updated: 3/21/2024 | Inventor(s): Lorenzo Bertizzolo, Tommaso Melodia, Salvatore D'Oro, Zhangyu Guan

Keywords(s): 5G Networks, 5g NR, Drone Networks, IoT, Software-defined Networking

Category(s): -Sensors tech, -Homeland Security, Technology Classifications > 3. Computer Science > Software, Technology Classifications > 2. Physical Science > Security, Technology Classifications > WIoT

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