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Correlated Multichannel Spectrum Sensing Cognitive Radio System with Selection Combining

In cognitive radio networks, multichannel spectrum sensing yield accurate results compared to single channel sensing schemes. However, often realistic correlation among multiple sensing channels is ignored. In this paper, we investigate the performance of a cognitive radio spectrum sensing systems considering more realistic exponential correlation among multiple sensing channels. Closed-form expressions for average detection probabilities are derived considering dual and triple correlated branches in a Selection Combining (SC) scheme. Nakagami-m fading channels are considered with different fading severities. Numerical results show the inter-branch correlation impacts the detector performance significantly, especially in deep fading scenarios.