Consensus-based decentralized clustering for cooperative spectrum sensing in cognitive radio networks  

作　　者：WU QiHui DING GuoRu WANG JinLong LI XiaoQiang HUANG YuZhen 

机构地区：[1]Institute of Communications Engineering,PLA University of Science and Technology,Nanjing 210007,China

出　　处：《Chinese Science Bulletin》2012年第28期3677-3683,共7页

基　　金：supported by the National Basic Research Program of China (2009CB320400);the National Natural Science Foundation of China(60932002 and 61172062);the Natural Science Foundation of Jiangsu,China (BK2011116)

摘　　要：A large number of previous works have demonstrated that cooperative spectrum sensing(CSS) among multiple users can greatly improve detection performance.However,when the number of secondary users(SUs;i.e.,spectrum sensors) is large,the sensing overheads(e.g.,time and energy consumption) will likely be intolerable if all SUs participate in CSS.In this paper,we proposed a fully decentralized CSS scheme based on recent advances in consensus theory and unsupervised learning technology.Relying only on iteratively information exchanges among one-hop neighbors,the SUs with potentially best detection performance form a cluster in an ad hoc manner.These SUs take charge of CSS according to an average consensus protocol and other SUs outside the cluster simply overhear the sensing outcomes.For comparison,we also provide a decentralized implementation of the existing centralized optimal soft combination(OSC) scheme.Numerical results show that the proposed scheme has detection performance comparable to that of the OSC scheme and outperforms the equal gain combination scheme and location-awareness scheme.Meanwhile,compared with the OSC scheme,the proposed scheme significantly reduces the sensing overheads and does not require a priori knowledge of the local received signal-to-noise ratio at each SU.A large number of previous works have demonstrated that cooperative spectrum sensing （CSS） among multiple users can greatly improve detection performance. However, when the number of secondary users （SUs; i.e., spectrum sensors） is large, the sensing overheads （e.g., time and energy consumption） will likely be intolerable if all SUs participate in CSS. In this paper, we proposed a fully decentralized CSS scheme based on recent advances in consensus theory and unsupervised learning technology. Relying only on iteratively information exchanges among one-hop neighbors, the SUs with potentially best detection performance form a cluster in an ad hoc manner. These SUs take charge of CSS according to an average consensus protocol and other SUs outside the cluster simply overhear the sensing outcomes. For comparison, we also provide a decentralized implementation of the existing centralized optimal soft combination （OSC） scheme. Numerical results show that the proposed scheme has detection performance comparable to that of the OSC scheme and outperforms the equal gain combination scheme and location-awareness scheme. Meanwhile, compared with the OSC scheme, the proposed scheme significantly reduces the sensing overheads and does not re- quire a priori knowledge of the local received signal-to-noise ratio at each SU.

关 键 词：位置感知 产业集群 全分散 无线电网络 频谱 基础 等增益合并 检测性能 

分 类 号：TN915.04[电子电信—通信与信息系统] F062.9[电子电信—信息与通信工程]