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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: 10/15/2024
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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
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
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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