Abstract:

In spectrum trading, pricing is a key issue. Aiming at pricing for idle spectrums in a cognitive radio network with multiple primary users, a competitive pricing solution algorithm based on the non cooperative game theory in the competitive pricing is proposed, and the algorithm converges to a unique Nash equilibrium is proved. In the cooperative pricing, a cooperative pricing solution algorithm by solving the dual problem of the original problem is proposed and the algorithm converge to the global optimal solution is proved if the step length is small enough. Simulation results show that the two proposed algorithms show better time efficiency and can obtain relatively better total revenues, and moreover the revenue values are very close to the optimal solution.