为了在认知无线电系统中公平分配频谱,基于古诺博弈对频谱分配模型加以改进。融合中心凭借各认知用户的提交结果整理出当前的空闲频谱,依据次用户提交正确结果的概率为其设置权重系数,将能够反映认知用户检测能力强弱的权重系数体现在价格函数中,基于重置的价格函数和次用户的感知损耗参数,得到改进的效用函数。仿真结果表明,改进算法存在纳什均衡,体现了融合中心分配频谱的公平性,能提高系统的整体检测性能。
In order to fairly share the spectrum in cognitive radio systems,the Cournot game is used to improve the spectrum allocation model.According to the results of cognitive users' submittion,fusion center sorted out the current free spectrum and assign weights for the secondary users by their probabilities of submitting the correct results,which will be intoduced into the price function.Based on the reset price function and secondary user's perceived loss parameters,the utility function can be Improved.Simulation results show that,the improved model has a Nash equilibrium,which reflects the fairness of the fusion center in spectrum allocating,and it can improve the overall detection performance of the system.