基于均衡价格的认知无线网络频谱分配算法

Research on Spectrum Allocation Algorithm Based on Equilibrium Price for Cognitive Radio Network

提出一种基于均衡价格理论的认知无线网络频谱分配算法,此算法采用簇间、簇内两阶段的频谱分配方式,理论上分析并推导出不同阶段的最佳频谱单价与频谱数目、簇头及簇成员节点数、节点服务优先级别以及节点自身的通信活动次数之间的数学关系表达式。仿真结果表明:与无优先级的频谱分配方式相比,所提算法以降低不到2个百分点的频谱总收益为代价,可使认知无线网络中的高优先级用户(或节点)获得较多频谱,理性地体现出不同优先等级节点的频谱收益区别。

The paper presented a spectrum allocation algorithm for cognitive radio networks using the equilibri- um price theory. With the algorithm, the two stage clustering spectrum allocation model was adopted and the expression of the optimal spectrum prices per unit for each stage was analyzed and deduced in consideration of the number of spectrum units, the number of cluster heads and cluster-members, different priority levels of nodes and the number of active communications of nodes. Simulation results show as folliws： The proposed al-gorithm guarantees that the user （node） with the higher priority can obtain more spectrum resources in a cogni-tive radio network at the cost of the total spectrum revenue decreasing by less than 2%, as compared with the spectrum allocation strategy without taking the priority into consideration; also, it reflects the different spec-trum revenues of nodes of different priorities rationally.