Search Results - salvatore+d%27oro

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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 Copy Image URL via instructions below https://nu.testtechnologypublisher.com/files/sites/mark-saulich-17.jpg Background: Spectrum sensing is crucial in wireless communications for efficiently utilizing the limited available...
Published: 9/10/2024   |   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
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: 9/10/2024   |   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
Mechanisms for the Enforcement of Network Slicing Policies in Virtualized Cellular Networks
INV-19040 Background Recent studies indicate that the demand for faster, lower latency wireless cellular connection is growing exponentially every year. RAN slicing is a form of 5G virtualization that allows network infrastructure owners to dynamically “slice” and “serve” their network resources (i.e., spectrum, power, antennas,...
Published: 9/10/2024   |   Inventor(s): Salvatore D'Oro, Francesco Restuccia, Tommaso Melodia
Keywords(s): 5G Networks, Communications, Network Slicing
Category(s): -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
Mechanism for Real-Time Channel-Resilient Optimization of Deep Learning-based Radio Fingerprinting Algorithm
DeepRadioID uses FIR filters and deep learning for unique, energy-efficient IoT device authentication without resource-intensive cryptography Copy Image URL via instructions below https://nu.testtechnologypublisher.com/files/sites/mark-saulich-24.jpg Background: The rapid proliferation of IoT devices has intensified the need for secure...
Published: 9/10/2024   |   Inventor(s): Francesco Restuccia, Salvatore D'Oro, Tommaso Melodia
Keywords(s):  
Category(s): -Communications, Technology Classifications > 3. Computer Science
A unified framework for multi-access edge computing (MEC) network slicing in 5G networks
INV-20109 Background It has become apparent that advanced softwarization and virtualization paradigms such as network slicing will be the cornerstone of 5G networks and the Internet of Things. Indeed, by sharing a common underlying physical infrastructure, network operators (NOs) can dynamically deploy multiple “slices” tailored for...
Published: 9/10/2024   |   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
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.” Copy Image URL via instructions below https://nu.testtechnologypublisher.com/files/sites/mark-saulich-14.jpg Background: The surge in privacy threats and data breaches has underscored the critical need for secure communications...
Published: 9/10/2024   |   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
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: 9/10/2024   |   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): -Homeland Security, -Sensors tech, Technology Classifications > 3. Computer Science > Software, Technology Classifications > 2. Physical Science > Security