Blind Spectrum Sensing for Cognitive Radio Channels with Noise Uncertainty
In this letter, a blind spectrum sensing method is proposed which does not need any information of primary users and the noise power. For a given number of observation samples of primary channels, the spectrum sensing is reformulated into a Student's t-distribution testing problem. The analytic...
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| Veröffentlicht in: | IEEE transactions on wireless communications 2011-06, Vol.10 (6), p.1721-1724 |
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| container_title | IEEE transactions on wireless communications |
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| creator | Shen, Lei Wang, Haiquan Zhang, Wei Zhao, Zhijin |
| description | In this letter, a blind spectrum sensing method is proposed which does not need any information of primary users and the noise power. For a given number of observation samples of primary channels, the spectrum sensing is reformulated into a Student's t-distribution testing problem. The analytical results of the blind spectrum sensing are given. It is shown that over flat fading channels in noise of uncertainty power the blind spectrum sensing greatly outperforms the energy detection at about 4 dB gain. |
| doi_str_mv | 10.1109/TWC.2011.040511.101559 |
| format | Article |
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For a given number of observation samples of primary channels, the spectrum sensing is reformulated into a Student's t-distribution testing problem. The analytical results of the blind spectrum sensing are given. It is shown that over flat fading channels in noise of uncertainty power the blind spectrum sensing greatly outperforms the energy detection at about 4 dB gain.</description><identifier>ISSN: 1536-1276</identifier><identifier>EISSN: 1558-2248</identifier><identifier>DOI: 10.1109/TWC.2011.040511.101559</identifier><identifier>CODEN: ITWCAX</identifier><language>eng</language><publisher>New York, NY: IEEE</publisher><subject>Applied sciences ; Blinds ; Channels ; Cognitive radio ; Detection ; energy detection ; Exact sciences and technology ; Fading ; fading channel ; Gain ; Information, signal and communications theory ; Mathematical analysis ; Noise ; Noise levels ; noise uncertainty ; Radiocommunication specific techniques ; Radiocommunications ; Sensors ; Signal and communications theory ; Signal representation. Spectral analysis ; Signal to noise ratio ; Signal, noise ; spectrum sensing ; Systems, networks and services of telecommunications ; Telecommunications ; Telecommunications and information theory ; Transmission and modulation (techniques and equipments) ; Uncertainty</subject><ispartof>IEEE transactions on wireless communications, 2011-06, Vol.10 (6), p.1721-1724</ispartof><rights>2015 INIST-CNRS</rights><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Jun 2011</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c434t-9e74ec6a43b2be34726e74b7ea5f6450e2c44dff40f515d5e1693496163935983</citedby><cites>FETCH-LOGICAL-c434t-9e74ec6a43b2be34726e74b7ea5f6450e2c44dff40f515d5e1693496163935983</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/5751589$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,777,781,793,27906,27907,54740</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5751589$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=24391889$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Shen, Lei</creatorcontrib><creatorcontrib>Wang, Haiquan</creatorcontrib><creatorcontrib>Zhang, Wei</creatorcontrib><creatorcontrib>Zhao, Zhijin</creatorcontrib><title>Blind Spectrum Sensing for Cognitive Radio Channels with Noise Uncertainty</title><title>IEEE transactions on wireless communications</title><addtitle>TWC</addtitle><description>In this letter, a blind spectrum sensing method is proposed which does not need any information of primary users and the noise power. For a given number of observation samples of primary channels, the spectrum sensing is reformulated into a Student's t-distribution testing problem. The analytical results of the blind spectrum sensing are given. It is shown that over flat fading channels in noise of uncertainty power the blind spectrum sensing greatly outperforms the energy detection at about 4 dB gain.</description><subject>Applied sciences</subject><subject>Blinds</subject><subject>Channels</subject><subject>Cognitive radio</subject><subject>Detection</subject><subject>energy detection</subject><subject>Exact sciences and technology</subject><subject>Fading</subject><subject>fading channel</subject><subject>Gain</subject><subject>Information, signal and communications theory</subject><subject>Mathematical analysis</subject><subject>Noise</subject><subject>Noise levels</subject><subject>noise uncertainty</subject><subject>Radiocommunication specific techniques</subject><subject>Radiocommunications</subject><subject>Sensors</subject><subject>Signal and communications theory</subject><subject>Signal representation. Spectral analysis</subject><subject>Signal to noise ratio</subject><subject>Signal, noise</subject><subject>spectrum sensing</subject><subject>Systems, networks and services of telecommunications</subject><subject>Telecommunications</subject><subject>Telecommunications and information theory</subject><subject>Transmission and modulation (techniques and equipments)</subject><subject>Uncertainty</subject><issn>1536-1276</issn><issn>1558-2248</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpdkNtKxDAQhosoeHwCQYIgXnXN5NTmUotHRMEDXoZsdqqRbromXcW3N0vFC6_-YeabIfmK4gDoBIDqk6eXZsIowIQKKnMABSn1WrGVoy4ZE_X6quaqBFapzWI7pXdKoVJSbhU3Z50PM_K4QDfE5Zw8Ykg-vJK2j6TpX4Mf_CeSBzvzPWnebAjYJfLlhzdy1_uE5Dk4jIP1YfjeLTZa2yXc-82d4vni_Km5Km_vL6-b09vSCS6GUmMl0Ckr-JRNkYuKqdyZVmhlq4SkyJwQs7YVtJUgZxJBaS60AsU1l7rmO8XxeHcR-48lpsHMfXLYdTZgv0ym1ooxrpjM5OE_8r1fxpAfZ-qKA0DNdIbUCLnYpxSxNYvo5zZ-G6BmJdhkwWYl2IyCzSg4Lx79XrfJ2a6NNjif_raZ4BrqesXtj5xHxL-xrPLv8vQHBpGChw</recordid><startdate>20110601</startdate><enddate>20110601</enddate><creator>Shen, Lei</creator><creator>Wang, Haiquan</creator><creator>Zhang, Wei</creator><creator>Zhao, Zhijin</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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Spectral analysis</topic><topic>Signal to noise ratio</topic><topic>Signal, noise</topic><topic>spectrum sensing</topic><topic>Systems, networks and services of telecommunications</topic><topic>Telecommunications</topic><topic>Telecommunications and information theory</topic><topic>Transmission and modulation (techniques and equipments)</topic><topic>Uncertainty</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Shen, Lei</creatorcontrib><creatorcontrib>Wang, Haiquan</creatorcontrib><creatorcontrib>Zhang, Wei</creatorcontrib><creatorcontrib>Zhao, Zhijin</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998–Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><jtitle>IEEE transactions on wireless communications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Shen, Lei</au><au>Wang, Haiquan</au><au>Zhang, Wei</au><au>Zhao, Zhijin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Blind Spectrum Sensing for Cognitive Radio Channels with Noise Uncertainty</atitle><jtitle>IEEE transactions on wireless communications</jtitle><stitle>TWC</stitle><date>2011-06-01</date><risdate>2011</risdate><volume>10</volume><issue>6</issue><spage>1721</spage><epage>1724</epage><pages>1721-1724</pages><issn>1536-1276</issn><eissn>1558-2248</eissn><coden>ITWCAX</coden><abstract>In this letter, a blind spectrum sensing method is proposed which does not need any information of primary users and the noise power. 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| source | IEEE Electronic Library (IEL) |
| subjects | Applied sciences Blinds Channels Cognitive radio Detection energy detection Exact sciences and technology Fading fading channel Gain Information, signal and communications theory Mathematical analysis Noise Noise levels noise uncertainty Radiocommunication specific techniques Radiocommunications Sensors Signal and communications theory Signal representation. Spectral analysis Signal to noise ratio Signal, noise spectrum sensing Systems, networks and services of telecommunications Telecommunications Telecommunications and information theory Transmission and modulation (techniques and equipments) Uncertainty |
| title | Blind Spectrum Sensing for Cognitive Radio Channels with Noise Uncertainty |
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