Elements of information theory
Elements of information theory
Probability-based combination for cooperative spectrum sensing
IEEE Transactions on Communications
Detecting low-power primary signals via distributed sensing to support opportunistic spectrum access
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Spectrum sensing measurements of pilot, energy, and collaborative detection
MILCOM'06 Proceedings of the 2006 IEEE conference on Military communications
IEEE Transactions on Wireless Communications - Part 1
Optimization of cooperative spectrum sensing with energy detection in cognitive radio networks
IEEE Transactions on Wireless Communications
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In cognitive radio (CR) cooperative sensing schemes, wireless sensor nodes deployed in the network sense the licensed spectrum and send their local sensing decisions to a fusion center (FC) that makes a global decision on whether to allow the unlicensed user transmit on the licensed spectrum, based on a decision (fusion) rule. k-out-of-N is widely used in the literature owing to its practical simplicity. Regrettably, it exhibits a tradeoff between the achievable probabilities of false alarm and miss detection, which could have consequent effects on the performance of CR. In this paper, based on the notion of typical sequences, we propose a novel fusion rule in which the false alarmandmiss detection probabilities can be simultaneously made as small as desired (asymptotically zero as the number of sensors goes to infinity).