Exploiting Spatial Statistics of Primary and Secondary Users towards Improved Cognitive Radio Networks

We show how locations of primary and secondary users of spectrum can be characterized quantitatively using modern spatial statistics techniques. We argue that several interesting practical engineering applications can be based on these methods. In order to demonstrate the developed techniques, we will apply those to real-world data in particularly TV-transmitter locations in the USA. The spatial statistic techniques have a natural use in the analysis of Dynamic Spectrum Access (DSA) opportunities. We expect that the presented methods have strong potential to be used not only for theoretical work, but also as foundations for concrete protocols and algorithms for improved cognitive radios.