Cognitive Radio Network Tomography of Spectrum Map Using Learning and Random Set Theory

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Executive Summary

Cognitive radio network tomography identifies transmission opportunities by actively or passively obtaining link-level or network-level information, to enable networking cognitive radios. Beyond the spectrum holes, radio resource with location information that is known as spectrum map, can easily facilitate network functions such as multi-hop cooperative routing. However, it is not feasible to construct the spectrum map by dynamic placing a large number of cooperative sensors, but the authors need to complete spectrum map even with locations without sensors.

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