Cognitive Radio (CR) technology [1] is a prominent solution to resolve the problem of spectrum underutilization in licensed spectrum bands. The regulatory agencies are allowing Dynamic Spectrum Access (DSA) techniques to overcome this issue. These techniques are providing access to the Secondary User (SU) in the unused licensed bands without creating interference to Primary Users (PUs) [2]. The SU requires a reliable sensing technique to identify the unused spectrum holes in the licensed bands. The sensing techniques are not only minimizing interferences with PU transmission and also finding reliable information about the unused licensed bands in the wireless communication systems. The selection of spectrum sensing technique depends on the speed and reliability of PU signal identification. Matched filter detection, cyclostationary feature detection [3], energy detection [4], etc. are existing sensing techniques in the cognitive radio network (CRN).
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