集中式认知网络分簇算法研究  

Research on clustering algorithm for centralized cognitive radio networks

作　　者：李晓艳[1] 雷斌[1] 郭锦[1] LI Xiaoyan;LEI Bin;GUO Jin(School of Electronic Information Engineering, Xi’an Technological University, Xi’an 710021, China)

机构地区：[1]西安工业大学电子信息工程学院,西安710021

出　　处：《计算机工程与应用》2017年第10期117-123,共7页Computer Engineering and Applications

基　　金：陕西省科技厅资助项目(No.2015GY041);陕西省教育厅科研计划项目资助(No.15JK1346);国家自然科学基金面上项目(No.61271362)

摘　　要：认知网络按照一定的准则划分为若干个簇,簇内共享一条信道用于交换控制信息,这种以分簇的方式实现按区域共享信道是认知无线电频谱共享问题的解决方法之一。针对认知网络空闲信道的特性,提出了一种考虑可用信道、地理位置以及数据库统计值的新的分簇算法,该算法以最大化簇内吞吐量和维持簇结构稳定为设计目的;讨论了几个关键的簇维护和管理问题。仿真结果表明,提出的分簇算法在产生的簇总数量以及簇的重构次数上可以获得一个较好的综合性能。Following some rules,the Cognitive Radio Networks(CRNs)can be divided into several clusters,each cluster has a Common Control Channel(CCC)to exchange control information.The cluster-based CCC is one of the solutions to the problem in spectrum sharing for CRNs.According to the characteristics of idle channel in CRNs,a new clustering algorithm is proposed,with the aim of maximizing the cluster throughput and maintaining the cluster stability,considers three factors:available channels,geographical position and database statistics is proposed.Then,several cluster maintenance issues are discussed.Simulation results reveal that the proposed clustering algorithm generates small number of clusters in the network,and can maintain the stability of network topology by reducing the reclustering times.

关 键 词：认知无线电 集中式网络 频谱共享 分簇 

分 类 号：TN929.5[电子电信—通信与信息系统]