Collaborative Spectrum Sensing Based on a New SNR Estimation and Energy Combining Method

被引：29

作者：

Chavali, V. Gautham ^{[1
]}

da Silva, Claudio R. C. M. ^{[1
]}

机构：

[1] Virginia Polytech Inst & State Univ, Bradley Dept Elect & Comp Engn, Blacksburg, VA 24061 USA

来源：

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY | 2011年 / 60卷 / 08期

关键词：

Cognitive radio; collaborative spectrum sensing; distributed detection; energy detection; signal detection; THROUGHPUT TRADEOFF; USER;

D O I：

10.1109/TVT.2011.2166284

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In order for collaborative spectrum sensing to be effective, the sensing data provided by each radio should be weighted in proportion to their reliability during data combining. The time and processing requirements of the weight estimation process, however, can make weighted data combining infeasible in practical systems. This paper presents a new collaborative sensing method that exploits the correlation of the sensing data provided by a given radio in successive sensing intervals to keep the requirements of weighted data combining at acceptable levels. It is shown that the proposed method offers an excellent tradeoff between reliability and complexity, compared with conventional collaborative sensing methods.

引用

页码：4024 / 4029

页数：6

共 27 条

[11] Computing the distribution of sums of random sine waves and of Rayleigh-distributed random variables by saddle-point integration [J].