Energy detector using adaptive-fixed thresholds in Cognitive Radio systems
Cognitive radio systems offer the opportunity to improve spectrum utilization by detecting unused spectrum bands while avoiding the interference to primary users. In this paper, we propose a new algorithm for spectrum sensing, which is energy detector using both adaptive and fixed threshold, in orde...
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creator | Jong-Whan Lee Jong-Ho Kim Hyeong-Joo Oh Seung-Hoon Hwang |
description | Cognitive radio systems offer the opportunity to improve spectrum utilization by detecting unused spectrum bands while avoiding the interference to primary users. In this paper, we propose a new algorithm for spectrum sensing, which is energy detector using both adaptive and fixed threshold, in order to compensate the weak points of the existing energy detector in the distorted communication channel environment. The simulation results show that the performance of the proposed scheme is much better than the existing scheme. Additionally, the performance is described in terms of the complementary ROC curve. It is shown that the proposed algorithm makes the detector highly robust against fading, shadowing, and interference by simulation results. |
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It is shown that the proposed algorithm makes the detector highly robust against fading, shadowing, and interference by simulation results.</description><subject>adaptive threshold</subject><subject>Bandwidth</subject><subject>Chromium</subject><subject>Cognitive radio</subject><subject>Computer vision</subject><subject>Detectors</subject><subject>energy detector</subject><subject>Fading</subject><subject>fixed threshold</subject><subject>Frequency</subject><subject>Interference</subject><subject>primary user</subject><subject>secondary user</subject><subject>Shadow mapping</subject><subject>Signal detection</subject><issn>2163-0771</issn><isbn>4885522323</isbn><isbn>9784885522321</isbn><isbn>9784885522314</isbn><isbn>4885522315</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2008</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1jttKAzEURSMqWOt8gS_5gYFMTq6PMtQbBUH6Xk4nJ9NIO1MmUezfW9G-7M1iw2JfsMpbp5zTWkpo1CW7PYOEKzaTjYFaWNvcsCrnDyFE440V4GfsdTHQ1B95oEJdGSf-mdPQcwx4KOmL6pi-KfCynShvx13IPA28Hfsh_a78HUMaeT7mQvt8x64j7jJV_z1nq8fFqn2ul29PL-3Dsk5elDpsnDNGCR8JnNKx8zIAOqncKUwnPZ6ORZQ2akQwSKrbgBEAWmthLMKc3f9pExGtD1Pa43RcK2vBKg8_gZVKXg</recordid><startdate>200810</startdate><enddate>200810</enddate><creator>Jong-Whan Lee</creator><creator>Jong-Ho Kim</creator><creator>Hyeong-Joo Oh</creator><creator>Seung-Hoon Hwang</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200810</creationdate><title>Energy detector using adaptive-fixed thresholds in Cognitive Radio systems</title><author>Jong-Whan Lee ; Jong-Ho Kim ; Hyeong-Joo Oh ; Seung-Hoon Hwang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-db8866409fe3845fc92d3a8248a826c29a703fa27f5aa36ae4cb36033555067a3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2008</creationdate><topic>adaptive threshold</topic><topic>Bandwidth</topic><topic>Chromium</topic><topic>Cognitive radio</topic><topic>Computer vision</topic><topic>Detectors</topic><topic>energy detector</topic><topic>Fading</topic><topic>fixed threshold</topic><topic>Frequency</topic><topic>Interference</topic><topic>primary user</topic><topic>secondary user</topic><topic>Shadow mapping</topic><topic>Signal detection</topic><toplevel>online_resources</toplevel><creatorcontrib>Jong-Whan Lee</creatorcontrib><creatorcontrib>Jong-Ho Kim</creatorcontrib><creatorcontrib>Hyeong-Joo Oh</creatorcontrib><creatorcontrib>Seung-Hoon Hwang</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Jong-Whan Lee</au><au>Jong-Ho Kim</au><au>Hyeong-Joo Oh</au><au>Seung-Hoon Hwang</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Energy detector using adaptive-fixed thresholds in Cognitive Radio systems</atitle><btitle>2008 14th Asia-Pacific Conference on Communications</btitle><stitle>APCC</stitle><date>2008-10</date><risdate>2008</risdate><spage>1</spage><epage>4</epage><pages>1-4</pages><issn>2163-0771</issn><isbn>4885522323</isbn><isbn>9784885522321</isbn><eisbn>9784885522314</eisbn><eisbn>4885522315</eisbn><abstract>Cognitive radio systems offer the opportunity to improve spectrum utilization by detecting unused spectrum bands while avoiding the interference to primary users. In this paper, we propose a new algorithm for spectrum sensing, which is energy detector using both adaptive and fixed threshold, in order to compensate the weak points of the existing energy detector in the distorted communication channel environment. The simulation results show that the performance of the proposed scheme is much better than the existing scheme. Additionally, the performance is described in terms of the complementary ROC curve. It is shown that the proposed algorithm makes the detector highly robust against fading, shadowing, and interference by simulation results.</abstract><pub>IEEE</pub><tpages>4</tpages></addata></record> |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | adaptive threshold Bandwidth Chromium Cognitive radio Computer vision Detectors energy detector Fading fixed threshold Frequency Interference primary user secondary user Shadow mapping Signal detection |
title | Energy detector using adaptive-fixed thresholds in Cognitive Radio systems |
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