Energy detection based estimation of primary Channel Occupancy Rate in Cognitive Radio

Dynamic Spectrum Access (DSA)/Cognitive Radio (CR) systems can detect transmission opportunities by means of periodic spectrum sensing. The design and configuration of spectrum sensing is commonly aimed at optimising the instantaneous detection of such opportunities. Besides the detection of transmission opportunities, spectrum sensing can also be exploited to provide DSA/CR systems with more sophisticated and elaborated information, including for instance statistical information on the occupancy pattern of primary channels. However, the configuration of spectrum sensing in order to minimise the estimation error of channel activity statistics has received much less attention. In this context, this work explores the configuration of an energy detector in order to enable an accurate estimation of the real occupancy rate of a primary channel, thus providing DSA/CR systems with accurate statistical information of primary channels that can be used effectively in spectrum and radio resource management decisions.

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