Sensor node-assisted asynchronous cooperative spectrum sensing for
cognitive radio network

doi:10.1016/S1005-8885(14)60325-3

Acta Metallurgica Sinica(English letters) ›› 2014, Vol. 21 ›› Issue (5): 17-23.doi: 10.1016/S1005-8885(14)60325-3

Sensor node-assisted asynchronous cooperative spectrum sensing for cognitive radio network

曹开田¹,Donglin Wang²

1. 南京邮电大学
2. 东南大学
3.New York Institute of Technology (Nanjing Campus)

收稿日期:2014-01-02 修回日期:2014-06-13 出版日期:2014-10-31 发布日期:2014-10-30
通讯作者: 曹开田 E-mail:caokt@njupt.edu.cn
基金资助:
国家重大基础研究计划973项目;国家自然科学基金;国家自然科学基金;江苏省博士后科研资助计划

Sensor node-assisted asynchronous cooperative spectrum sensing for cognitive radio network

Received:2014-01-02 Revised:2014-06-13 Online:2014-10-31 Published:2014-10-30
Contact: Kai-Tian CAO E-mail:caokt@njupt.edu.cn

摘要/Abstract

摘要： In order to take advantage of the asynchronous sensing information, alleviate the sensing overhead of secondary users (SUs) and improve the detection performance, a sensor node-assisted asynchronous cooperative spectrum sensing (SN-ACSS) scheme for cognitive radio (CR) network (CRN) was proposed. In SN-ACSS, each SU is surrounded by sensor nodes (SNs), which asynchronously make hard decisions and soft decisions based on the Bayesian fusion rule instead of the SU. The SU combines these soft decisions and makes the local soft decision. Finally, the fusion center (FC) fuses the local soft decisions transmitted from SUs with different weight coefficients to attain the final soft decision. Besides, the impact of the statistics of licensed band occupancy on detection performance and the fact that different SNs have different sensing contributions are also considered in SN-ACSS scheme. Numerical results show that compared with the conventional synchronous cooperative spectrum sensing (SCSS) and the existing ACSS schemes, SN-ACSS algorithm achieves a better detection performance and lower cost with the same number of SNs.

关键词: cognitive radio, asynchronous cooperative spectrum sensing, Bayesian fusion rule, ON-OFF model, soft decision

Abstract: In order to take advantage of the asynchronous sensing information, alleviate the sensing overhead of secondary users (SUs) and improve the detection performance, a sensor node-assisted asynchronous cooperative spectrum sensing (SN-ACSS) scheme for cognitive radio (CR) network (CRN) was proposed. In SN-ACSS, each SU is surrounded by sensor nodes (SNs), which asynchronously make hard decisions and soft decisions based on the Bayesian fusion rule instead of the SU. The SU combines these soft decisions and makes the local soft decision. Finally, the fusion center (FC) fuses the local soft decisions transmitted from SUs with different weight coefficients to attain the final soft decision. Besides, the impact of the statistics of licensed band occupancy on detection performance and the fact that different SNs have different sensing contributions are also considered in SN-ACSS scheme. Numerical results show that compared with the conventional synchronous cooperative spectrum sensing (SCSS) and the existing ACSS schemes, SN-ACSS algorithm achieves a better detection performance and lower cost with the same number of SNs.

Key words: cognitive radio, asynchronous cooperative spectrum sensing, Bayesian fusion rule, ON-OFF model, soft decision

中图分类号:

TN91

参考文献

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Sensor node-assisted asynchronous cooperative spectrum sensing for cognitive radio network

Sensor node-assisted asynchronous cooperative spectrum sensing for cognitive radio network

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