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为尽可能满足认知网络系统对认知用户多种类型业务的传输需求,提出了一种基于信道加权多特征参数模型分组聚类的动态频谱接入技术.通过建立可接入信道的加权多特征参数模型,采用多目标聚类实现信道的频谱池分组划分,以实现认知用户频谱的动态接入,满足认知用户业务传输对频谱性能的需求.通过多特征参数组合、动态频谱仿真实验验证,结果表明该方法可有效地实现信道的性能划分,提高认知用户的频谱接入效率和业务传输性能.
In order to meet the demand of cognitive network system for the transmission of multiple types of services to cognitive users as much as possible, this paper proposes a dynamic spectrum access technology based on clustering clustering with channel-weighted multi-feature parameter model.Through the establishment of the weighted Feature parameter model, the multi-objective clustering is used to divide the spectrum pool of the channel into groups, so as to realize the dynamic access of the spectrum of cognitive users and meet the demand of spectrum performance for cognitive user service transmission. Through the combination of multi-feature parameters and dynamic spectrum simulation The results show that this method can effectively realize the channel performance division and improve the spectrum access efficiency and service transmission performance of cognitive users.