Security Spectrum Auction Framework for Cognitive Radio Networks

Spectrum auction is an effective way to improve spectrum efficiency in cognitive networks. All traditional auction framework such as VCG price auction framework and second price auction framework face security risks. Collusion is the most important risk in multi-user cognitive networks. In this paper, we propose a security mechanism for the multi-user cognitive spectrum auction networks. This security auction framework is based on position information. We use this security spectrum auction framework to increase the total system revenue and prevent collusion. The simulation results show that the security spectrum auction framework can greatly improve spectrum efficiency. Besides, the auction process will be safer and fairer. In particular, when users are uniformly distributed, the proposed auction framework will obtain more seller revenue.

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