SNR-based weighted cooperative spectrum sensing in cognitive radio networks

作者：Wu Su Wen^*; Zhu Jin Kang; Qiu Ling; Zhao Ming

来源：The Journal of China Universities of Posts and Telecommunications, 2010, 17(2): 1-7.

DOI：10.1016/S1005-8885(09)60437-4

• Co-operative spectrum sensing
• Cognitive radio network
• Conventional schemes
• Randomly distributed
• Secondary users
• Sensing performance
• SNR-based weighted
• Weighted-cooperative spectrum sensing

Cooperative spectrum sensing (CSS) is an approach to confront fading environment. However, in conventional cooperative spectrum sensing (CCSS), the difference among the secondary users (SUs) is ignored when SUs suffer from different fading. In this article, a signal-to-noise ratio (SNR)-based weighted spectrum sensing scheme is proposed to improve the sensing performance. The sensing performance of the weighted spectrum sensing scheme is then derived. Considering the minor contribution of the SUs with small weighted factor, a selective CSS scheme is proposed, where 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 where the SNR of SUs are randomly 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.

• 出版日期2010
• 单位中国科学技术大学