Research Article

Spectrum Sensing in Cognitive Radio Based on Adaptive Optimal SVM

Cognitive Radio (CR) is an efficient way to solve the problem of the lack of the spectrum resource. In a Cognitive Radio Network the unlicensed users (secondary users) must incessantly monitor the spectrum for the presence of the licensed users (primary users) to avoid the interference to primary users. In this study, a spectrum sensing scheme based on adaptive optimal SVM (support vector machine) is proposed. A prototype system and the simulation experiments show that in low SNR the algorithm can also get a reasonable probability of detection and a low probability of false alarm.

PDF Fulltext XML References Citation

How to cite this article

Zhuoran Cai, Honglin Zhao and Min Jia, 2011. Spectrum Sensing in Cognitive Radio Based on Adaptive Optimal SVM. Information Technology Journal, 10: 1427-1431.

DOI: 10.3923/itj.2011.1427.1431

URL: https://scialert.net/abstract/?doi=itj.2011.1427.1431

Information Technology Journal

Article Trend

Total views 473

Search

Authors

Zhuoran Cai

Honglin Zhao

Min Jia

Keywords

Research Article

Spectrum Sensing in Cognitive Radio Based on Adaptive Optimal SVM

How to cite this article

Related Articles

Leave a Comment