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[1] Sun Dafei, Song Tiecheng, Wu Ming, et al. Optimal decision threshold for soft decision cooperative spectrum sensing [J]. Journal of Southeast University (English Edition), 2013, 29 (4): 355-360. [doi:10.3969/j.issn.1003-7985.2013.04.001]
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Optimal decision threshold for soft decision cooperative spectrum sensing()
软判决协作频谱感知的最优判决门限
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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:
29
Issue:
2013 4
Page:
355-360
Research Field:
Information and Communication Engineering
Publishing date:
2013-12-20

Info

Title:
Optimal decision threshold for soft decision cooperative spectrum sensing
软判决协作频谱感知的最优判决门限
Author(s):
Sun Dafei1;  2;  Song Tiecheng1;  Wu Ming1;  Hu Jing1;  Guo Jie1;  Gu Bin1
1National Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, China
2College of Science, Nanjing University of Technology, Nanjing 210009, China
孙大飞1;  2;  宋铁成1;  吴名1;  胡静1;  郭洁1;  顾斌1
1东南大学移动通信国家重点实验室, 南京 210096; 2南京工业大学理学院, 南京 210009
Keywords:
cognitive radio;  cooperative spectrum sensing;  energy detection;  decision threshold
认知无线电;  协作频谱感知;  能量检测;  判决门限
PACS:
TN911.23
DOI:
10.3969/j.issn.1003-7985.2013.04.001
Abstract:
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.
为了获得认知无线电系统更高的频谱利用效率, 基于最小总错误概率准则推导了软判决协作频谱感知最优判决门限的闭合表达式, 并且分析了各种频谱感知参数对最优判决门限的影响.理论分析表明, 所提出的最优门限可以获得虚警概率和漏检概率2种性能指标的折中.从仿真结果可以看出, 平均信噪比和软判决方案对最优判决门限影响较大, 而样本数量对最优的判决门限几乎无影响.对于MRC和MDC两种软判决方案, 随着协作用户数量的增加, 最优判决门限值随之增加并且趋近于某一极限值.而对于EGC软判决方案, 协作用户数对其最优门限值影响很小.

References:

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Memo

Memo:
Biographies: Sun Dafei(1976—), male, graduate; Song Tiecheng(corresponding author), male, doctor, professor, songtc@seu.edu.cn.
Foundation items: The National Natural Science Foundation of China(No.61271207, 61372104), the National Science and Technology Major Project(No.2010ZX03006-002-01), the Specialized Development Foundation for the Achievement Transformation of Jiangsu Province(No.BA2010023).
Citation: Sun Dafei, Song Tiecheng, Wu Ming, et al. Optimal decision threshold for soft decision cooperative spectrum sensing[J].Journal of Southeast University(English Edition), 2013, 29(4):355-360.[doi:10.3969/j.issn.1003-7985.2013.04.001]
Last Update: 2013-12-20