A Low-Complexity Cyclostationary-Based Detection Method for Cooperative Spectrum Sensing in Cognitive Radio Networks

Abstract— fast reliable spectrum sensing (ss) is a crucial problem in the cognitive radio systems. to address this issue, cyclostationarity-based detection methods, which are generally more complex but more reliable than energy detection methods, have been proposed. this paper presents a new method to detect the presence of the second-order cyclostationarity in the ofdm-based primary user (pu) signals. the proposed method has a low computational complexity, while it presents a performance close to the well-known glrt-based dandawaté-giannakis's method. moreover, since the proposed low-complexity method is robust against the noise uncertainty, it can be a good alternative to the energy detection method. we further propose some cooperative spectrum sensing methods to improve the detection performance. extensive simulation results confirm the superiority of the proposed schemes.keywords- cooperative, cyclostationarity-based, low-complexity spectrum sensing, soft combination.