基于改进的C-均值聚类算法的动态频谱接入策略

Dynamic spectrum access strategy based on C-means clustering

为尽可能满足认知用户对多业务的需求,不断提高频谱资源的利用效率,提出一种基于C-均值聚类算法的动态频谱接入技术。通过建立可接入信道的多目标矩阵模型,利用多目标聚类的方法完成对信道频谱池的准确划分,不仅能满足认知用户的不同业务需求,还有效提高了频谱利用效率。仿真结果表明,多目标聚类方法能更准确、更快速的依据信道性能实现频谱池准确划分,提高认知用户的频谱接入效率。

In order to meet cognitive user demand for multi-service knowledge as possible,and constantly improve the efficiency of spectrum resources,a dynamic spectrum access technology based on C-means clustering algorithm is proposed. By building a multi-objective model of the access channels and using the method of multi-objective clustering complete the accurate division of the channel spectrum pool. It can not only meet the different business needs of cognitive users,but also effectively improve the efficiency of spectrum utilization. The simulation results show,multi-objective clustering method can more accurately and faster based on the channel performance to achieve accurate division of the spectrum pool to improve the cognitive user＇s spectrum access efficiency.