Distributed Detection and Data Fusion
Distributed Detection and Data Fusion
Multi-Sensor Data Fusion: An Introduction
Multi-Sensor Data Fusion: An Introduction
IEEE Transactions on Communications
Maximum likelihood estimation of SNR using digitally modulated signals
IEEE Transactions on Wireless Communications
Estimation of Ricean K parameter and local average SNR from noisy correlated channel samples
IEEE Transactions on Wireless Communications
Cognitive radio: brain-empowered wireless communications
IEEE Journal on Selected Areas in Communications
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The performance of collaborative spectrum sensing is examined for lognormal shadowing channels when secondary user interferences (SUIs) occur. Both soft decision rule and hard decision rule are considered. Computer simulation shows that the SUIs can be ignored in some cases, depending on the signal-to-noise ratio (SNR), the signal-to-interference ratio, the number of secondary users, the sample correlation, and the decision rule. Thus, by choosing appropriate system parameters, one may conduct collaborative spectrum sensing at the same time as secondary data transmission to save overheads. Copyright © 2010 John Wiley & Sons, Ltd. (The secondary user interferences can be ignored in some cases, depending on the signal-to-noise ratio, the signal-to-interference ratio, the number of secondary users, the sample correlation, and the decision rule. By choosing appropriate system parameters, one may conduct collaborative spectrum sensing at the same time as secondary data transmission to save overheads.)