On the Usage of History for Energy Efficient Spectrum Sensing


Spectrum sensing is one in every of the most challenging problems in cognitive radio networks. It provides protection to primary users (PUs) from interference and additionally creates opportunities of spectrum access for secondary users (SUs). It ought to be performed efficiently to reduce variety of false alarms and missed detection. At the identical time, spectrum sensing should be energy efficient to make sure the longevity of cognitive radio devices. This work presents a completely unique scheme that investigates the usage of history for energy economical spectrum sensing in infrastructure cognitive radio networks. The presented theme employs an iteratively developed history processing database. It is shown that usage of history helps predicting PU activity and results into reduced spectrum scanning by SUs thereby improving the sensing related energy consumption.

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