SVM-based spectrum handoff scheme for mobile cognitive radio networks

被引：0

作者：

Wang, Yao ^{[1
,2
,3
]}

Zhang, Zhongzhao ^{[1
]}

Chen, Jiamei ^{[1
]}

Ma, Lin ^{[1
]}

机构：

[1] Communication Research Center, Harbin Institute of Technology, Harbin

[2] College of Information and Electrical Engineering, Shenyang Agricultural University, Shenyang

[3] Communication Department, Shenyang Artillery Academy, Shenyang

来源：

Journal of Information and Computational Science | 2015年 / 12卷 / 04期

基金：

中国国家自然科学基金;

关键词：

Cognitive Radio; MIS; Mobility; Spectrum Handoff; SVM;

D O I：

10.12733/jics20105392

中图分类号：

学科分类号：

摘要：

Few of the existing spectrum handoff algorithms take time-space-domain spectrum mobility into account for Cognitive Radio Networks (CRNs). In this paper, a novel spectrum handoff scheme based on the feature vector extraction of Support Vector Machine (SVM) is proposed. The new handoff scheme predicts the channel availability considering the activity of PUs and the mobility of SUs together. And Maximum Independent Set (MIS) theory is utilized to achieve fairness during the backup channel selection. Simulation results validate that the presented spectrum handoff algorithm obtains higher throughout fairness performances and lower collision rate than the traditional handoff schemes. ©, 2015, Binary Information Press

引用

页码：1301 / 1309

页数：8

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