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Cognitive radio technology gives secondary users chances that they can use specific spectrum of the primary user when the primary user doesn`t use it. This paper proposes the algorithm that maximizes the benefit of the primary user considering spectrum price and auction period by using the auction game theory. According to the ratio of spectrum that secondary users bid, primary user allocates spectrum to secondary users. In the process of repeated auction, the primary user gets to find the optimal price of spectrum. Using the price and the proposed utility function of primary user, we derive the optimal auction period. At the same time, the primary user finally determines the price of spectrum appropriate for the optimal period.

Optimal Price and Auction Period Decision Method Based on Auction Game Theory for Spectrum Allocation in Cognitive Radio Networks