Spectrum trading for non-identical channel allocation in cognitive radio networks

In this paper, we investigate spectrum trading via auction approach for cognitive radio networks. We consider a realistic valuation function in terms of different parameters for secondary users (SUs), and propose an efficient concurrent Vickrey-Clarke-Grove mechanism for non-identical channel allocation in two different scenarios. In the first scenario, SUs can bid for a single channel while in the other one, SUs can bid for a bundle of two channels. Our numerical results demonstrate significant revenue increase for the auctioneer and bidders in comparison with the conventional auction mechanisms.