Optimal Joint Spatial-Temporal Diversity for Spectrum Sensing in Cognitive Radio Networks

被引：0

作者：

Ding, Guoru ^{[1
]}

Song, Fei ^{[1
]}

Wang, Jinlong ^{[1
]}

Wu, Qihui ^{[1
]}

机构：

[1] PLA Univ Sci & Technol, Wireless Commun Lab, Coll Commun Engn, Nanjing 210007, Jiangsu, Peoples R China

来源：

2013 22ND WIRELESS AND OPTICAL COMMUNICATIONS CONFERENCE (WOCC 2013) | 2013年

关键词：

Cognitive radio networks; spectrum sensing; spatial-temporal diversity; distributed detection; TIME-DOMAIN;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Spectrum sensing is a critical and challenging issue in cognitive radio networks. Prior research has demonstrated that using spatial diversity or temporal diversity can lead to more efficient spectrum sensing. Based on Neyman-Pearson criterion, this paper derives a novel spectrum sensing algorithm which exploits spatial diversity among multiple cognitive sensors and temporal diversity among consecutive time slots jointly. The numerical results not only verify the improvement of the sensing performance comparing with singular (spatial or temporal) diversity is applied, but also show the reduction of sensing overhead in low signal-noise-ratio (SNR) regime.

引用

页码：65 / 69

页数：5

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