Abstract: For the characteristics of the dynamic spectrum allocation of cognitive radio network nodes, using the to static game theory, according to the fact that secondary users who occupy the wider spectrum caused greater interference, this article builds a spectrum allocation strategy based on price punishment mechanism cournot game model. Nash equilibrium is a solution of the model to achieve the best utility of spectrum. Then energy-efficient multicast tree is built based on the on-demand minimum increment theory, and proposes an on-demand multicast routing protocol based on energy optimization in cognitive radio network.

摘要： 针对认知无线电网络节点动态频谱分配的特点，利用静态博弈方法，根据次用户占用频谱越宽所造成干扰越大，建立基于价格惩罚机制的古诺模型解决频谱分配问题，通过求解纳什均衡，频谱利用率达到最优。根据最小增量按需驱动思想建立了节约能量的组播树，提出基于能量优化的适用于认知无线电网络的按需组播路由协议。