Quickest spectrum sensing in cognitive radio

被引:0
|
作者
Li, Husheng [1 ]
Li, Chengzhi [2 ]
Dai, Huaiyu [2 ]
机构
[1] Univ Tennessee, Dept Elect Engn & Comp Sci, Knoxville, TN 37996 USA
[2] North Carolina State Univ, Dept Elect & Comp Engn, Raleigh, NC USA
基金
美国国家科学基金会;
关键词
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Quickest detection is applied to frequency spectrum sensing in cognitive radio systems. Distribution change in frequency domain is detected for vacating secondary radio networks from licensed frequency band. A successive refinement based quickest detection is proposed to tackle the problem of unknown parameters of primary radio signal. Cooperative quickest detection is used to enhance the performance of quickest spectrum sensing in secondary radio systems without data fusion centers. Performance is evaluated using theoretical analysis and numerical simulations.
引用
收藏
页码:203 / +
页数:2
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