A SVM Based Spectrum Prediction Scheme for Cognitive Radio
Spectrum prediction is one of the key technologies in cognitive radio（CR）systems. This technology can reduce considerable energy consumed by spectrum sensing, and improve the overall system's spectrum utilization. Aiming at the low accuracy and invalid prediction problems of spectrum prediction...
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| Format: | Article |
| Language: | zho |
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Beijing Xintong Media Co., Ltd
2014-11-01
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| Series: | Dianxin kexue |
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| Online Access: | http://www.telecomsci.com/zh/article/doi/10.3969/j.issn.1000-0801.2014.11.015/ |
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| _version_ | 1841529446212829184 |
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| author | Yuan Xu Huaxiang Lu Xu Chen |
| author_facet | Yuan Xu Huaxiang Lu Xu Chen |
| author_sort | Yuan Xu |
| collection | DOAJ |
| description | Spectrum prediction is one of the key technologies in cognitive radio（CR）systems. This technology can reduce considerable energy consumed by spectrum sensing, and improve the overall system's spectrum utilization. Aiming at the low accuracy and invalid prediction problems of spectrum prediction in cognitive radio, a new prediction method was proposed by integrating support vector machine（SVM）which was based on statistical learning theory（SLT）and structural risk minimization principle（SRM）. The channel status is forecasted by utilizing the excellent forecasting performance of the model in small sample and nonlinear data of SVM. The results show that by avoiding invalid prediction, the spectrum utilization can also be improved, and the forecasting accuracy is better than model based on back propagation（BP）, thus the proposed algorithm is practicable and flexible for spectrum prediction in cognitive radio. |
| format | Article |
| id | doaj-art-9584e62a07d0403c9dd1eb470ba33198 |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2014-11-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-9584e62a07d0403c9dd1eb470ba331982025-01-15T03:18:06ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012014-11-0130879259617523A SVM Based Spectrum Prediction Scheme for Cognitive RadioYuan XuHuaxiang LuXu ChenSpectrum prediction is one of the key technologies in cognitive radio（CR）systems. This technology can reduce considerable energy consumed by spectrum sensing, and improve the overall system's spectrum utilization. Aiming at the low accuracy and invalid prediction problems of spectrum prediction in cognitive radio, a new prediction method was proposed by integrating support vector machine（SVM）which was based on statistical learning theory（SLT）and structural risk minimization principle（SRM）. The channel status is forecasted by utilizing the excellent forecasting performance of the model in small sample and nonlinear data of SVM. The results show that by avoiding invalid prediction, the spectrum utilization can also be improved, and the forecasting accuracy is better than model based on back propagation（BP）, thus the proposed algorithm is practicable and flexible for spectrum prediction in cognitive radio.http://www.telecomsci.com/zh/article/doi/10.3969/j.issn.1000-0801.2014.11.015/cognitive radiospectrum predictionsupport vector machine |
| spellingShingle | Yuan Xu Huaxiang Lu Xu Chen A SVM Based Spectrum Prediction Scheme for Cognitive Radio Dianxin kexue cognitive radio spectrum prediction support vector machine |
| title | A SVM Based Spectrum Prediction Scheme for Cognitive Radio |
| title_full | A SVM Based Spectrum Prediction Scheme for Cognitive Radio |
| title_fullStr | A SVM Based Spectrum Prediction Scheme for Cognitive Radio |
| title_full_unstemmed | A SVM Based Spectrum Prediction Scheme for Cognitive Radio |
| title_short | A SVM Based Spectrum Prediction Scheme for Cognitive Radio |
| title_sort | svm based spectrum prediction scheme for cognitive radio |
| topic | cognitive radio spectrum prediction support vector machine |
| url | http://www.telecomsci.com/zh/article/doi/10.3969/j.issn.1000-0801.2014.11.015/ |
| work_keys_str_mv | AT yuanxu asvmbasedspectrumpredictionschemeforcognitiveradio AT huaxianglu asvmbasedspectrumpredictionschemeforcognitiveradio AT xuchen asvmbasedspectrumpredictionschemeforcognitiveradio AT yuanxu svmbasedspectrumpredictionschemeforcognitiveradio AT huaxianglu svmbasedspectrumpredictionschemeforcognitiveradio AT xuchen svmbasedspectrumpredictionschemeforcognitiveradio |