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Reconfigurable and Intelligent Ultra-Wideband Angular Sensing: Prototype Design and Validation
The emergence of beyond-licensed spectrum sharing in FR1 (0. 45-6 GHz) and FR2 (24 - 52 GHz) along with the multi-antenna narrow-beam based directional transmissions demand a wideband spectrum sensing in temporal as well as spatial domains.
Novel Deep Learning Framework for Wideband Spectrum Characterization at Sub-Nyquist Rate
Spectrum characterization involves the identification of vacant bands along with center frequency and parameters (energy, modulation, etc.)
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