基于加权多特征参数模型的动态频谱接入方法

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.

Dynamic Spectrum Access Based on Weighted Multi-Feature Model in Cognitive Wireless Network

A new dynamic spectrum access technology based on weighted multi-feature model clustering is presented to improve transmission quality for different users for cognitive wireless network.Once the weighted multi-feature model of channels is extracted, these channels suitable for the cognitive users are clustered into different spectrum pools with a multi-objective clustering algorithm.These channels in white pooling are priority to be accessed for cognitive users according to their services.Multiple feature combinations and dynamic spectrum simulations are completed to verify the efficiency of the proposed method.Analysis and simulation show that the channels can be classified according to performance more efficiently, and the access efficiency of channels can be improved.