iDetection: Intelligent Primary User Detection for Cognitive Radio Networks

In dynamic spectrum access paradigm, reliable spectrum sensing is essential for the efficient utilization of the underutilized spectrum as well as the protection of legacy spectrum users. To achieve reliability, it is important for sensing techniques to meet detection requirements, such as the maximum allowed detection time, the probability of misdetection and the probability of false alarm. In this paper, a spectrum sensing scheme named iDetection is proposed that minimizes the probability of misdetection, false alarm and the mean detection time. Based on the power and the band of interest, the iDetection scheme selects either the combined energy detector and cyclostationary detector or the matched filter detection. The band of interest notifies whether the primary user waveform is known or not, whereas, power indicates the noise uncertainty in the received waveform. To evaluate the proposed scheme a comparison is conducted on the basis of the probability of detection, the probability of false alarm and the mean detection time. The results manifest that iDetection scheme outperforms all other existing local spectrum sensing techniques including energy detection, matched filter detection and cyclostationary detection.