Cognitive Radio Sensing Architecture and a Sensor Selection Case Study

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Executive Summary

The function of a Cognitive Radio System (CRS) can be classified as Cognitive Engine (CE) and sensing. The CE fulfills spectrum analysis and decision making of spectrum access. The sensing function is realized by either a CR node or distributed spectrum sensors. In this paper, the authors propose a sensing architecture, which adds new functional entities, Sensing Controller (SC) and Sensing Information Processor (SIP) inside CE and sensing, respectively. Based on the architecture, they give a use case where sensing is realized by distributed sensors. Selection of these sensors is performed in Rayleigh fading channel to improve the detection performance and save power consumption.

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