Cyclostationary Feature Detection from Sub-Nyquist Samples
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Outline Motivation Algorithms Sampling: MWC and Multicoset Recovery
Challenges and Trade-Offs Treatment of Noise 2
Spectrum Saturation
Licensed frequency bands to Primary Users (PUs): TV, radio stations, mobile carriers, air traffic control…) Spectrum is too crowded Cannot allocate frequency bands to new users! 3
Spectrum Sparsity Spectrum is underutilized In a given place, at a given time, only a small number of PUs transmit concurrently
Shared Spectrum Company (SSC) – 16-18 Nov 2005
Can we exploit temporarily available spectrum holes for opportunistic transmissions? 4
Cognitive Radios Principle: Perform spectrum sensing to search for available spectrum holes Monitor spectrum during transmission to detect any change in PUs’ activity
Requirements: Wideband spectrum sensing Real-time Reliability Minimal hardware and software resources (mobile) Nyquist sampling is not an option! How do we efficiently perform detection on a wideband signal? 5
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Model
Multiband model: N – max number of transmissions B – max bandwidth of each transmission
