Performance analysis for user identification in CR networks by various modulation transmission techniques

The rapid development of newly invented wireless devices and its applications tends to spectrum scarcity. Cognitive radio (CR) is a technology, which gives solution for the spectrum scarcity problem with dynamic spectrum access. The user presence or absence is identified by a spectrum sensing technique in CR networks. There are various methods like energy detection (ED), matched filter detector (MFD), etc. are used for identification of user presence or absence in the spectrum. The performance of the user identification is estimated by the parameters of probability of detection (PD) and the probability of false alarm (Pfa). The performance of the spectrum sensing method with Bayesian detection (BD) criteria by using static threshold is estimated by existing author for the above said parameters. In this paper, the authors estimated the performance of the above parameters with Neyman Pearson (NP) detection criteria is applying to MFD sensing method by using dynamic threshold. The performance is analysed by comparing the existing BD with the proposed NP by using the modulation transmission techniques 8-PSK, 8-QAM and identified the better detection criteria.