Comparison of Cooperative Spectrum Sensing Strategies in Distributed Cognitive Radio Networks

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Executive Summary

Cooperative spectrum sensing has been proposed to significantly improve spectrum sensing accuracy by taking advantage of the cooperation among Secondary Users (SUs), but also this incurs some sensing cost. In this paper, the authors present a cooperative spectrum sensing model with consideration to spectrum sensing cost in distributed cognitive radio networks where each SU aims to maximize its utility. Under the scenario with selfish SUs, they formulate cooperative spectrum sensing as a non-cooperative game and obtain the mixed strategy Nash equilibrium of the formulated spectrum sensing game by deriving the sensing probabilities of SUs.

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