[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]

Copy

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

Share：

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 Dafei^{1, 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:

[1] Liang Y, Chen K, Li G, et al. Cognitive radio network-ing and communications: an overview [J]. IEEE Trans Veh Technol, 2011, 60(7): 3386-3407.
[2] Lu L, Zhou X, Onunkwo U, et al. Ten years of researchin spectrum sensing and sharing in cognitive radio [J]. EURASIP J Wireless Commun Netw, 2012, 28(1): 1-16.
[3] Ghasemi A, Sousa E. Collaborative spectrum sensing for opportunistic access in fading environments [C]//Proc IEEE Int Symp on New Frontiers in Dynamic Spectrum Access Networks. Baltimore, USA, 2005: 131-136.
[4] Liang Y, Zeng Y, Peh E, et al. Sensing-throughput tradeoff for cognitive radio networks [J]. IEEE Trans Wireless Commun, 2008, 7(4): 1326-1337.
[5] Ma J, Zhao G, Li G. Soft combination and detection for cooperative spectrum sensing in cognitive radio networks [J]. IEEE Trans Wireless Commun, 2008, 7(11): 4502-4507.
[6] Quan Z, Cui S, Sayed A. Optimal linear cooperation for spectrum sensing in cognitive radio networks [J]. IEEE J Sel Topics Signal Process, 2008, 2(1): 28-40.
[7] Zhang W, Mallik R, Letaief K. Optimization of cooperative spectrum sensing with energy detection in cognitive radio networks [J]. IEEE Trans Wireless Commun, 2009, 8(12): 5761-5766.
[8] Fan R, Jiang H, Guo Q, et al. Joint optimal cooperative sensing and resource allocation in multichannel cognitive radio networks [J]. IEEE Trans Veh Technol, 2011, 60(2): 722-729.
[9] Luo L, Roy S. Efficient spectrum sensing for cognitive radio networks via joint optimization of sensing threshold and duration [J]. IEEE Trans Commun, 2012, 60(10): 2851-2860.
[10] Gong S, Wang P, Huang J. Robust performance of spectrum sensing in cognitive radio networks [J]. IEEE Trans Wireless Commun, 2013, 12(5): 2217-2227.

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]

Common functions