SVM-Based Spectrum Mobility Prediction Scheme in Mobile Cognitive Radio Networks
Spectrum mobility as an essential issue has not been fully investigated in mobile cognitive radio networks (CRNs). In this paper, a novel support vector machine based spectrum mobility prediction (SVM-SMP) scheme is presented considering time-varying and space-varying characteristics simultaneously...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2014/395212 |
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| _version_ | 1850173340193390592 |
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| author | Yao Wang Zhongzhao Zhang Lin Ma Jiamei Chen |
| author_facet | Yao Wang Zhongzhao Zhang Lin Ma Jiamei Chen |
| author_sort | Yao Wang |
| collection | DOAJ |
| description | Spectrum mobility as an essential issue has not been fully investigated in mobile cognitive radio networks (CRNs). In this paper, a novel support vector machine based spectrum mobility prediction (SVM-SMP) scheme is presented considering time-varying and space-varying characteristics simultaneously in mobile CRNs. The mobility of cognitive users (CUs) and the working activities of primary users (PUs) are analyzed in theory. And a joint feature vector extraction (JFVE) method is proposed based on the theoretical analysis. Then spectrum mobility prediction is executed through the classification of SVM with a fast convergence speed. Numerical results validate that SVM-SMP gains better short-time prediction accuracy rate and miss prediction rate performance than the two algorithms just depending on the location and speed information. Additionally, a rational parameter design can remedy the prediction performance degradation caused by high speed SUs with strong randomness movements. |
| format | Article |
| id | doaj-art-d36aba0748494317a7f977100aa4f124 |
| institution | OA Journals |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-d36aba0748494317a7f977100aa4f1242025-08-20T02:19:51ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/395212395212SVM-Based Spectrum Mobility Prediction Scheme in Mobile Cognitive Radio NetworksYao Wang0Zhongzhao Zhang1Lin Ma2Jiamei Chen3Communication Research Center, Harbin Institute of Technology, Harbin 150080, ChinaCommunication Research Center, Harbin Institute of Technology, Harbin 150080, ChinaCommunication Research Center, Harbin Institute of Technology, Harbin 150080, ChinaCommunication Research Center, Harbin Institute of Technology, Harbin 150080, ChinaSpectrum mobility as an essential issue has not been fully investigated in mobile cognitive radio networks (CRNs). In this paper, a novel support vector machine based spectrum mobility prediction (SVM-SMP) scheme is presented considering time-varying and space-varying characteristics simultaneously in mobile CRNs. The mobility of cognitive users (CUs) and the working activities of primary users (PUs) are analyzed in theory. And a joint feature vector extraction (JFVE) method is proposed based on the theoretical analysis. Then spectrum mobility prediction is executed through the classification of SVM with a fast convergence speed. Numerical results validate that SVM-SMP gains better short-time prediction accuracy rate and miss prediction rate performance than the two algorithms just depending on the location and speed information. Additionally, a rational parameter design can remedy the prediction performance degradation caused by high speed SUs with strong randomness movements.http://dx.doi.org/10.1155/2014/395212 |
| spellingShingle | Yao Wang Zhongzhao Zhang Lin Ma Jiamei Chen SVM-Based Spectrum Mobility Prediction Scheme in Mobile Cognitive Radio Networks The Scientific World Journal |
| title | SVM-Based Spectrum Mobility Prediction Scheme in Mobile Cognitive Radio Networks |
| title_full | SVM-Based Spectrum Mobility Prediction Scheme in Mobile Cognitive Radio Networks |
| title_fullStr | SVM-Based Spectrum Mobility Prediction Scheme in Mobile Cognitive Radio Networks |
| title_full_unstemmed | SVM-Based Spectrum Mobility Prediction Scheme in Mobile Cognitive Radio Networks |
| title_short | SVM-Based Spectrum Mobility Prediction Scheme in Mobile Cognitive Radio Networks |
| title_sort | svm based spectrum mobility prediction scheme in mobile cognitive radio networks |
| url | http://dx.doi.org/10.1155/2014/395212 |
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