基于博弈资源分配的认知异构网络干扰协调算法

基于underlay频谱共享模式的认知异构网络可有效缓解频谱资源短缺问题，但同时会加剧网络中的干扰。针对该问题，提出了一种基于非合作博弈模型的动态频谱分配和功率控制算法进行干扰协调。首先，考虑频谱共享造成的干扰问题，引入认知用户优先等级，将问题构建为联合动态频谱分配与功率控制的频谱定价博弈模型；其次，通过两阶段动态博弈得到纳什均衡解，实现认知网络层频谱资源合理分配和发射功率控制。仿真表明，所提算法能够实现不同优先级用户频谱资源的合理分配和认知基站发射功率控制，有效抑制认知异构网络的跨层干扰和层内干扰。

Interference coordination algorithm for cognitive heterogeneous networks resource allocation based on game theory

Cognitive heterogeneous network based on underlay spectrum sharing mode can effectively alleviate the shortage of spectrum resources, but at the same time, it will aggravate the interference in the network. To solve this problem, this paper proposed a dynamic spectrum allocation and power control algorithm based on non-cooperative game model for interference coordination. Firstly, this paper considered the interference problems arising from spectrum sharing, introduced cognitive user priority level, and constructed the problem as a spectrum pricing game model of joint dynamic spectrum allocation and power control. Secondly, through a two-stage dynamic game, it obtained the Nash equilibrium solution to achieve rational allocation of spectrum resources and transmission power control at the cognitive network layer. Simulation results show that the proposed algorithm can realize the rational allocation of spectrum resources of different priority users and the control of transmission power of cognitive femtocell base stations, and effectively suppress cross-layer interference and intra-layer interference of cognitive heterogeneous networks.