篇目详细内容 |
【篇名】 |
Optimal cooperative energy spectrum sensing in cognitive radio network |
【刊名】 |
Frontiers of Electrical and Electronic Engineering in China |
【刊名缩写】 |
Front. Electr. Electron. Eng. China |
【ISSN】 |
1673-3460 |
【EISSN】 |
1673-3584 |
【DOI】 |
10.1007/s11460-010-0113-z |
【出版社】 |
Higher Education Press and Springer-Verlag Berlin
Heidelberg |
【出版年】 |
2010 |
【卷期】 |
5
卷4期 |
【页码】 |
449-455
页,共
7
页 |
【作者】 |
Haijun WANG;
Xin SU;
Yi XU;
Shidong ZHOU;
Jing WANG;
|
【关键词】 |
cognitive radio (CR); cooperative sensing; likelihood-ratio test |
【摘要】 |
Cooperative energy spectrum sensing has been proved effective to detect the spectrum holes in cognitive radio (CR). In this paper, we present the optimal energy sensing algorithm in CR network and prove its optimality through the duality theorem of Neyman-Pearson theorem. Then, the optimal energy sensing algorithm is expanded to a cooperative sensing algorithm based on channel covariance matrix. We compare the proposed algorithms with traditional cooperative sensing algorithms in terms of complexity and required transmission bits. Simulation results validate the optimality of the proposed cooperative sensing algorithm. Furthermore, it is intuitively reasonable for the sensing station to choose the sensing nodes with better channel condition to cooperate, which is verified by our analysis and simulation. |