Abstract—Spectrum Sensing is the most crucial task in Cognitive Radio Networks (CRN). The role of Secondary User (SU) is to sense the spectrum continuously and detect whether the Primary User (PU) signal is present or absent. The detection performance in practice is often compromised with multipath fading, shadowing and receiver uncertainty issues. To address these issues Cooperative Spectrum Sensing (CSS) is used. Cooperation among multiple secondary users can be utilized to improve the sensing performance and increase the efficiency to detect spectrum holes in CRN. In this paper we present the classification of Cooperative sensing approaches and fusion schemes used in CRN. A comparison of those approaches and schemes is also presented in this paper.

Index Terms—Cognitive radio networks, Spectrum sensing, Secondary user, Detection performance.

Cite: D B V Ravisankar and N Venkateswararao, "A SURVEY OF COOPERATIVE SPECTRUM SENSING APPROACHES AND DATA FUSION SCHEMES IN COGNITIVE RADIO NETWORKS," International Journal of Electrical and Electronic Engineering & Telecommunications, Vol. 6, No. 2, pp. 73-79, April 2017.