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...

Full description

Bibliographic Details
Main Authors: Wan-Ru Lin, 林宛儒
Other Authors: Yaw-Wen Kuo
Format: Others
Language:zh-TW
Published: 2013
Online Access:http://ndltd.ncl.edu.tw/handle/90624494501329596249
id ndltd-TW-101NCNU0442078
record_format oai_dc
spelling 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
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 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.
author2 Yaw-Wen Kuo
author_facet 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
work_keys_str_mv AT wanrulin optimaldecisionfusionforspectrumsensingincognitiveradionetworks
AT línwǎnrú optimaldecisionfusionforspectrumsensingincognitiveradionetworks
AT wanrulin zàigǎnzhīwǎnglùzhōngpínpǔgǎncèzhīzuìjiājuécèrónghéjīzhì
AT línwǎnrú zàigǎnzhīwǎnglùzhōngpínpǔgǎncèzhīzuìjiājuécèrónghéjīzhì
_version_ 1718208957285138432