Spatial-spectral joint detection for wideband spectrum sensing in cognitive radio networks

被引：0

作者：

Quan, Zhi ^{[1
]}

Cui, Shuguang ^{[2
]}

Sayed, Ali H. ^{[1
]}

Poor, H. Vincent ^{[3
]}

机构：

[1] Univ Calif Los Angeles, Dept Elect Engn, Los Angeles, CA 90095 USA

[2] Texas A&M Univ, Dept Elect & Comp Engn, College Stn, TX 77843 USA

[3] Princeton Univ, Dept Elect Engn, Princeton, NJ 08544 USA

来源：

2008 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING, VOLS 1-12 | 2008年

关键词：

spectrum sensing; distributed detection; nonlinear optimization; cognitive radio;

D O I：

暂无

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

Spectrum sensing is an essential functionality that enables cognitive radios to detect spectral holes and opportunistically use under-utilized frequency bands without causing harmful interference to primary networks. Since individual cognitive radios might not be able to reliably detect weak primary signals due to channel fading/shadowing, this paper proposes a cooperative wideband spectrum sensing scheme, referred to as spatial-spectral joint detection, which is based on a linear combination of the local statistics from spatially distributed multiple cognitive radios. The cooperative sensing problem is formulated into an optimization problem, for which suboptimal but efficient solutions can be obtained through mathematical transformation under practical conditions.

引用

页码：2793 / +

页数：2

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