基于多特征参数模型聚类的动态频谱接入策略

为尽可能地提高认知网络系统对认知用户多种不同业务类型的传输质量,提出了一种基于信道多特征参数模型聚类的动态接入技术。在建立认知用户可接入信道的多特征参数模型的基础上,利用多目标聚类方法实现信道的频谱池划分,用于指导认知用户制定不同的信道动态接入策略,满足认知用户不同的业务传输对频谱性能的需求。通过了多种参数组合以及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。

Dynamic spectrum access strategy based on multi-features model clustering

A novel dynamic spectrum access technology based on multi-features model clustering is presented to improve transmission quality for different users in the cognitive network.After the multi-features models of the channels are extracted,these channels suitable for the cognitive users are clustered into different spectrum poolings using a multi-objective clustering algorithm.Those channels in the white pooling are prior to be accessed for cognitive users.Multiple feature combinations and dynamic spectrum simulations are carried out to verify the efficiency of the proposed method.Analysis and simulation results show that the channels can be classified efficiently according to their performance.The access efficiency can be improved by the proposed method.