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UFMC-based wideband spectrum sensing for cognitive radio systems in non-Gaussian noise

Cognitive radio (CR) is an important technology that allows to deal with spectrum congestion, where secondary applications (users) attempt to access a frequency band that is reserved for a primary application. A challenging function for a CR is to sense a frequency band and detect the absence or presence of a licensed user, a task referred to as spectrum sensing. In this paper, we investigate the performance of the Rao-test based detector for wideband spectrum sensing under non-Gaussian noise in a multi-carrier transmission framework. Specifically, we incorporate this detector into the universal filtered multicarrier (UFMC) modulation scheme envisaged for 5G systems. Through numerical simulations, we show that the Rao-test based detector combined with UFMC outperforms the traditional OFDM based system in a realistic non-Gaussian noise environment.