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Copula-Based Cooperative Sensing of OFDM Signals in Cognitive RadiosAuthors: Akhil Singh,Sai praneeth Chokkarapu,Sachin Chaudhari,Pramod K. Varshney Conference: 12th International Conference on COMmunication Systems & NETworkS Location Bengaluru, India Date: 2020-01-07 Report no: IIIT/TR/2020/1 AbstractThis paper proposes the use of copula theory for cooperative spectrum sensing (CSS) of orthogonal frequencydivision multiplexing (OFDM) based primary user (PU). A distributed detection model is assumed where secondary users (SUs) employ autocorrelation detectors (ADs) for the detection of a PU. In the presence of a PU, it is assumed that the observations across different SUs and subsequently the decision statistics are dependent. For the fusion of these dependent statistics, different copulas such as t-copula, Gaussian, Clayton and Gumbel are employed. In the presence of dependence among decision statistics, significant improvement in detection performance is observed while using copula theory instead of the traditional assumption of independence. Simulation results are presented to show the superiority of copula-based spectrum sensing. Index Terms—Autocorrelation detector, cognitive radio, cooperative spectrum sensing, copula, dependence Full paper: pdf Centre for Communications |
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