In order to promote the fairness and spectrum efficiency of cognitive radio networks (CRNs) and to max-
imize the utility of primary user (PU) and secondary users (SUs)，this paper introduces a game-based non-cooperation trading mechanism，and proposes an interference right trading-based power control algorithm of cognitive radio networks． In the algorithm，PUs that has satisfied their own minimum interference threshold are allowed to trade their interference rights (IRs)，and the interference price is imposed on SUs to earn income as the compensation for the degradation of QoS． Moreover，through the principle of price lever，the non-cooperative game among SUs as well as between PUs and SUs are performed in terms of the interference price and the transmitting power，and thus the interference price and the transmitting power eventually converge to a Nash equilibrium point． Simulation results show that the proposed algorithm is more fair and practical than the traditional one．