Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Electronics And Communications

Cognitive radio (CR) is an effective way to improve the utilization of spectrum source. Spectrum sensing is playing an important role in cognitive radio network (CRN) to detect the presence of the primary users (PUs). One of the most critical issues in spectrum sensing is the interference on PU. In this work, a novel optimal voting rule is proposed to minimize the Bayes risk function in cooperative spectrum sensing. Furthermore, an algorithm to optimize the energy detection threshold for the CR users for any fusion rule is presented. On the other hand, an algorithm that determines the optimum fusion rule and optimum threshold that minimizes the false alarm probability such that the missing probability under constraint (bounded error) is suggested. Moreover, the local energy detection threshold in four cases is studied (for AWGN channel at large and small time bandwidth product, and for Raleigh fading channel at large and small time bandwidth product)

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