A Survey on Data and Decision Fusion Strategies on Spectrum Sensing in Cognitive Radio Networks

Abstract: Cognitive radio is a promising technology which provides a novel way to improve utilization of available spec- trum. Spectrum sensing is a fundamental problem for cognitive radio. Cooperative spectrum sensing is an efficient way to detect spectrum holes in cognitive radio network. In this paper we review that in cooperative sensing for data and decision fusion we conduct some hypothesis test in which we study different methods of hypothesis testing based on various fusion rules, Likelihood ratio test (LRT) and Neymon Pearson Criteria. Some serial and parallel topologies of distributed network in which secondary users are connected to each other for performing their operation are also shown. Soft combination scheme exceeds hard combination scheme at the cost of complexity. Theref ore quantized combination scheme provides a better compromise between detection performance and complexity.
Index-Cognitive radio (CR), Dynamic Spectrum Access (DSA), Cooperative spectrum sensing, Energy detection, Like- lihood ratio test (LRT), Fusion rules, Decision fusion, Data fusion.