Cognitive Spectrum Sharing Algorithm Based on Secondary Users' Services

In cognitive radios, considering the fact that the varied services of secondary user will have different satisfaction with the spectrum provided by the primary operators, a satisfaction enhancement factor related to the transmission efficiency of the secondary user is introduced into spectrum sharing in this paper, which enables the secondary user to select the appropriate amount of shared spectrum according to the services requirements. Betrand game model is built to simulate the actual spectrum sharing scenarios with multiple primary operators and a secondary user. With the goal of optimizing the utility of each spectrum operator, a distributed price strategy is adopted in the Betrand game model to update the spectrum trading price of primary operators at different time. The simulation results show that the revenue of the primary operators can quickly converge to the Nash equilibrium. Also, the proposed spectrum sharing algorithm improve the convergence speed.