SNR-based Weighted Cooperative Spectrum Sensing in Cognitive Radio Networks

doi:10.1016/S1005-8885(09)60437-4

中国邮电高校学报(英文) ›› 2010, Vol. 17 ›› Issue (2): 1-7.doi: 10.1016/S1005-8885(09)60437-4

• Wireless • 下一篇

SNR-based Weighted Cooperative Spectrum Sensing in Cognitive Radio Networks

吴素文,邱玲,赵明,朱近康

中国科学技术大学

收稿日期:2009-07-24 修回日期:2010-01-20 出版日期:2010-04-30 发布日期:2010-06-01
通讯作者: 吴素文 E-mail:swwu@mail.ustc.edu.cn;swwu@mail.ustc.edu.cn
基金资助:
International Science and Technology Cooperation Program(2008DFA12160);国家级.国家“863计划”项目

SNR-based Weighted Cooperative Spectrum Sensing in Cognitive Radio Networks

Received:2009-07-24 Revised:2010-01-20 Online:2010-04-30 Published:2010-06-01

摘要/Abstract

摘要：

Cooperative spectrum sensing (CSS) is an approach to confront fading environment. However, in conventional cooperative spectrum sensing, the difference among the secondary users (SUs) is ignored when SUs suffer from different fading. In this paper, we propose a Signal-to-Noise Ratio (SNR)-based weighted spectrum sensing scheme to improve the sensing performance. Then the sensing performance of the weighted spectrum sensing scheme is firstly derived which previous work never related. Considering the minor contribution of the SUs with small weighted factor, we propose a selective cooperative spectrum sensing scheme where the SUs with low SNR are not selected into cooperative spectrum sensing. The simulation results confirm the analytical results. And the performance of weighted scheme is better than that of conventional schemes. In the case that the SNR of SUs are random distributed, the performance of selective scheme is almost the same as the weighted scheme while the number of cooperative SUs is reduced to save the consumption of system resource in cooperation with little additional complexity.

关键词:

Cooperative Spectrum Sensing, SNR-based weighted, Secondary users

Abstract:

Key words:

Cooperative Spectrum Sensing, SNR-based weighted, Secondary users

参考文献

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SNR-based Weighted Cooperative Spectrum Sensing in Cognitive Radio Networks

SNR-based Weighted Cooperative Spectrum Sensing in Cognitive Radio Networks

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