Effect of non-Gaussian noise and primary user traffic on detection performance in cognitive radio [Bilissel Radyoda Gauss Olmayan Gürültünün ve Birincil Kullanici Trafi?inin Algilama B?sarimina Etkisi]

Abstract

In this study, for channels containing primary user traffic, we investigate how non-Gaussian noise model affects detection performance in cognitive radio. As decision statistic, energy detector has been preferred by considering its simple structure and the fact that it does not need a priori knowledge about primary user signal. Gaussian mixture model, Laplacian distribution, and symmetric ?-stable distribution have been used as non-Gaussian noise models. The status changes of the primary user have been modeled via Poisson process. The simulations have been carried out separately for both under status changes and no status changes in the channel. According to our simulation results, primary user traffic degrades detection performance as does existence of non-Gaussian noise. In addition, it has been observed that the maximum degradation in detection performance of energy detector occurs for symmetric ?-stable distributions among the considered noise models in this study. © 2018 IEEE.