Spectrum auctions in the secondary market with multiple bids

In this paper, we propose an auction where the primary users (i.e., spectrum licence holders) sell spectrum to secondary users (i.e., non-licence holders) in a dynamic spectrum access networks. We consider a market like scenario where chunks of spectrum is traded where buyers put forward multiple bids based on how much spectrum they need and what is the price they are willing to pay. We use the Sigmoid function to model the price function that the buyers use. On the other hand, the sellers choose the buyers in such a way that maximizes their revenue. We find the set of the winning bids by solving the 0-1 knapsack problem using dynamic programming. Though simulation experiments, we show how the proposed auction performs with respect to selecting the bids and the total revenue generated
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