Optimal decision threshold for soft decision cooperative spectrum sensing

被引：0

作者：

Sun, Dafei ^{[1
,2
]}

Song, Tiecheng ^{[1
]}

Wu, Ming ^{[1
]}

Hu, Jing ^{[1
]}

Guo, Jie ^{[1
]}

Gu, Bin ^{[1
]}

机构：

[1] National Mobile Communications Research Laboratory, Southeast University

[2] College of Science, Nanjing University of Technology

来源：

Journal of Southeast University (English Edition) | 2013年 / 29卷 / 04期

关键词：

Cognitive radio; Cooperative spectrum sensing; Decision threshold; Energy detection;

D O I：

10.3969/j.issn.1003-7985.2013.04.001

中图分类号：

学科分类号：

摘要：

In order to achieve higher spectrum efficiency in cognitive radio (CR) systems, a closed-form expression of the optimal decision threshold for soft decision cooperative spectrum sensing based on the minimum total error probability criterion is derived. With the analytical expression of the optimal decision threshold, the impact of different sensing parameters on the threshold value is studied. Theoretical analyses show that the optimal threshold achieves an efficient trade-off between the missed detection probability and the false alarm probability. Simulation results illustrate that the average signal-to-noise ratio (SNR) and the soft combination schemes have a great influence on the optimal threshold value, whereas the number of samples has a weak impact on the optimal threshold value. Furthermore, for the maximal ratio combing (MRC) and the modified deflection coefficient (MDC) schemes, the optimal decision threshold value increases and approaches a corresponding individual limit value while the number of CR users increases. But the number of CR users has a weak influence on the optimal decision threshold for the equal gain combining (EGC) scheme.

引用

页码：355 / 360

页数：5

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