| 认知无线电中基于相似性的自适应分簇算法 |
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| 引用本文： | 薛钰,曾志民,郭义武,郭彩丽.认知无线电中基于相似性的自适应分簇算法[J].北京邮电大学学报,2008,31(3):89-93. |
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| 作者姓名： | 薛钰 曾志民 郭义武 郭彩丽 |
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| 作者单位： | 北京邮电大学,通信网络综合技术研究所,北京,100876;北京邮电大学,通信网络综合技术研究所,北京,100876;北京邮电大学,通信网络综合技术研究所,北京,100876;北京邮电大学,通信网络综合技术研究所,北京,100876 |
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| 基金项目： | 国家自然科学基金，高等学校博士学科点专项科研项目 |
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| 摘 要： | 针对认知无线电网络(CRN)中可用信道实时变化的特点，运用图形理论提出一种基于相似性的自适应分簇(CBAC)算法. 以用户可用信道的相似性为基础，结合考虑用户的移动性，通过计算节点权值实现CRN的优化分簇. 仿真分析证明，CBAC算法提高了系统的链路平均可用信道数，相比传统的分簇算法，能提高频谱的利用效率.
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| 关 键 词： | 认知无线电 自适应分簇 可用信道相似性 链路平均可用信道 |
| 收稿时间： | 2007-9-7 |
A Comparability Based Adaptive Clustering Algorithm in Cognitive Radio Network |
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| XUE Yu,ZENG Zhi-min,GUO Yi-wu,GUO Cai-li.A Comparability Based Adaptive Clustering Algorithm in Cognitive Radio Network[J].Journal of Beijing University of Posts and Telecommunications,2008,31(3):89-93. |
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| Authors: | XUE Yu ZENG Zhi-min GUO Yi-wu GUO Cai-li |
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| Affiliation: | Institute of Telecommunication Network Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China |
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| Abstract: | According to the characteristic of real-time changes of available channels in cognitive radio network, a new comparability based adaptive clustering algorithm (CBAC) in application of graph theory is proposed. Based on the comparability of users’ available channels and the consideration of mobility of cognitive radio users, the algorithm optimizes the clustering result in cognitive radio network via computing the node’s weight. Experiments show that the CBAC algorithm increases the number of the link’s average available channels and has higher spectrum utilization rate and lower communication overhead than that of traditional clustering algorithms. |
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| Keywords: | cognitive radio adaptive clustering comparability of available channel link’s average available channels |
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