Optimal Decision Fusion for Spectrum Sensing in Cognitive Radio Networks
碩士 === 國立暨南國際大學 === 電機工程學系 === 101 === Cognitive radio is an important technology of Cognitive Networks, which solves the issues of spectrum scarcity spectrum under-utilization. Cooperative spectrum sensing (CSS)determines the channel status based on several individual sensing results and has been p...
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ndltd-TW-101NCNU04420782016-03-21T04:27:34Z http://ndltd.ncl.edu.tw/handle/90624494501329596249 Optimal Decision Fusion for Spectrum Sensing in Cognitive Radio Networks 在感知網路中頻譜感測之最佳決策融合機制 Wan-Ru Lin 林宛儒 碩士 國立暨南國際大學 電機工程學系 101 Cognitive radio is an important technology of Cognitive Networks, which solves the issues of spectrum scarcity spectrum under-utilization. Cooperative spectrum sensing (CSS)determines the channel status based on several individual sensing results and has been proved effective to improve the detection performance. Secondary users (SUs) decides whether the primary user (PUs) is presence by a energy detector. A fusion center collects the decision results from all SUs and makes the final decision. The energy detection thresholds in SUs and the fusion rule play an important role in CSS. Based on the optimal fusion rule, we first show how to design the fusion rule and then adjust the individual threshold of the energy detector at each SU to achieve the optimal performance given the desired objectives. Yaw-Wen Kuo 郭耀文 2013 學位論文 ; thesis 68 zh-TW |
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碩士 === 國立暨南國際大學 === 電機工程學系 === 101 === Cognitive radio is an important technology of Cognitive Networks, which solves the issues of spectrum scarcity spectrum under-utilization. Cooperative spectrum sensing (CSS)determines the channel status based on several individual sensing results and has been proved effective to improve the detection performance. Secondary users (SUs) decides whether the primary user (PUs) is presence by a energy detector. A fusion center collects the decision results from all SUs and makes the final decision. The energy detection thresholds in SUs and the fusion rule play an important role in CSS. Based on the optimal fusion rule, we first show how to design the fusion rule and then adjust the individual threshold of the energy detector at each SU to achieve the optimal performance given the desired objectives.
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Yaw-Wen Kuo |
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Yaw-Wen Kuo Wan-Ru Lin 林宛儒 |
author |
Wan-Ru Lin 林宛儒 |
spellingShingle |
Wan-Ru Lin 林宛儒 Optimal Decision Fusion for Spectrum Sensing in Cognitive Radio Networks |
author_sort |
Wan-Ru Lin |
title |
Optimal Decision Fusion for Spectrum Sensing in Cognitive Radio Networks |
title_short |
Optimal Decision Fusion for Spectrum Sensing in Cognitive Radio Networks |
title_full |
Optimal Decision Fusion for Spectrum Sensing in Cognitive Radio Networks |
title_fullStr |
Optimal Decision Fusion for Spectrum Sensing in Cognitive Radio Networks |
title_full_unstemmed |
Optimal Decision Fusion for Spectrum Sensing in Cognitive Radio Networks |
title_sort |
optimal decision fusion for spectrum sensing in cognitive radio networks |
publishDate |
2013 |
url |
http://ndltd.ncl.edu.tw/handle/90624494501329596249 |
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