Dynamic spectrum sharing through double auction mechanism in cognitive radio networks

In this paper, focusing on the spectrum sharing and competition, we propose a double auction based spectrum trading (DAST) scheme which resolves the spectrum access between the primary network (PN) and secondary networks (SNs) subtly. Two different utility functions for primary users (PUs) and secondary users (SUs) are designed basing on a supply-and-demand relationship between them. Also, we adopt expectation and learning process in the module formulation, which takes consideration of the variance of channels, transmission forecasting, afore trading histories and etc. Numerical results with four bidding strategies are presented to reinforce the effectiveness of the two proposed utility evaluation based decision modules in supply falling short of demand cases. Meanwhile, the proposed DAST maintains comparable frequency efficiency with traditional centralized cognitive radio (CR) access approaches.