Collaborative Spectrum Sensing for OFDM with autocorrelation-based detector and 2-bit decision

One of the major components of cognitive radio is its ability to detect the availability of unused spectrum. Detection for the presence or absence of the spectrum hole plays a very important role before the frequency spectrum is used. Previous research in the field of spectrum detection for cognitive radio has been done for the distributed detection using energy detector with 2-bit decision but its application has not been used for OFDM (Orthogonal Frequency Division Multiplexing) signal. A new method of OFDM signal detection was introduced using autocorrelation-based detector but only using 1-bit decision. In this study, the authors examine the spectrum detection method for OFDM cognitive radio with distributed detection using autocorrelation-based detector method with 2-bit decision. The results of this study shown that by using an autocorrelation-based detector with 2-bit decision information in spectrum detection for OFDM cognitive radio, the probability of detection can be increased when compared to using an autocorrelation-based detector with 1-bit decision information.