Spectrum sensing based Sequential Detection for OFDM signals

As we know, Cognitive Radio comes to improve the underutilization problem of available radio spectrum by using one of its functional called spectrum sensing. In this paper, we compare two methods between Fixed Sample Size Test and Sequential Detection specifically for spectrum sensing using OFDM signals with Gaussian noise. The compared parameter in this simulation is OFDM Average Block (AVB) which will be purposed to determine the detector's performance. The results of this simulation have shown that the value of AVB using Sequential Detection is smaller than using Fixed Sample Size Test at the same SNR and other scenarios.