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We propose nonlinear schemes for the spectrum sensing in cooperative cognitive radio networks under impulsive noise circumstances. By jointly employing the order statistics, generalized likelihood ratio test, and counting rule in the framework of spectrum sensing, the proposed scheme exhibits a better performance than the conventional counterparts. From simulation results, it is confirmed that the...
Though collisions in wireless networks can be caused either by known stations within the transmission range or by unknown hidden stations, rate adaptation algorithms that are designed to adapt to varying channel quality deal with both cases in the same manner so that they do not effectively respond to the different channel conditions. In this paper, after examining the core issues regarding rate adaptation,...
In this paper, employing the generalized likelihood ratio test detector on each antenna branch and exploiting nonlinear diversity combining strategies, we propose a class of spectrum sensing schemes for cognitive radio with receive diversity. The performance characteristics of the proposed scheme are analyzed in comparison with those of the conventional schemes in Gaussian noise with various fading...
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