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This letter presents a cooperative spectrum sensing scheme with beamforming for cognitive radio networks. Here, secondary users report spectrum measurements to a fusion center simultaneously with assigned beamforming weights. Under correlated log-normal shadowing, optimal beamforming weights are derived to maximize the global detection probability subject to a global transmit power constraint. Global...
This paper presents the system level performance evaluation for energy-detection based cooperative spectrum sensing in cognitive radio networks. Three performance criteria are quantitively analyzed for cooperative spectrum sensing. First, the average error probability is determined given fixed amplifier gains for a fixed number of secondary users by considering all possible channel realizations. Second,...
This paper addresses optimal spectrum sensing in cognitive radio networks considering its system level cost that accounts for the local processing cost of sensing (sample collection and energy calculation at each secondary user) as well as the transmission cost (forwarding energy statistic from secondary users to fusion center). The optimization problem solves for the appropriate number of samples...
This paper presents the cooperative spectrum sensing in cognitive radio networks under spatially correlated noise. A suboptimal fusion rule which has negligible performance loss and less implementation complexity compared to the optimal fusion rule is proposed. Furthermore, the asymptotic detection probability of the proposed fusion rule in a linear array cognitive radio network is investigated. Finally,...
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