Search Results - millimeter+wave+spectrum

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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: 9/10/2024   |   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
Reconfigurable filter based on commutation of single frequency resonators
INV-20054 Background Filters for mobile communication systems are currently relying on micro-scale frequency-trimmed piezoelectric resonators. Since modern radios operate in a wide range of the radio frequency (RF) spectrum, hundreds of resonators can be found on a single mobile radio. Frequency trimming often requires technological challenges,...
Published: 9/10/2024   |   Inventor(s): Matteo Rinaldi, Giuseppe Michetti
Keywords(s): Electronics, IoT, Millimeter Wave Spectrum, RF (Radio Frequency)
Category(s): -Communications
Aluminum Nitride Combined Overtone Resonators for the mmWave Spectrum
INV-20023 Background The development of wireless communication systems has been steadily growing, and conventional sub-6 GHz frequency bands are too congested to meet the high data rate requirements of several emerging technologies like a connected vehicle. This game-changing technology requires high-bandwidth, low-latency and high-reliability...
Published: 9/10/2024   |   Inventor(s): Matteo Rinaldi, Guofeng Chen
Keywords(s): 5G Networks, Acoustic Filters, IoT, MEMS, Millimeter Wave Spectrum
Category(s): -Networks