Blind Cyclostationary Spectrum Sensing in Cognitive Radios
We propose a blind spectrum sensing method using signal cyclostationarity. Often, signal characteristics of the primary user (PU), such as carrier frequency, data rate, modulation and coding may not be known to cognitive users. This uncertainty introduces difficulties in searching for spectrum holes...
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| Veröffentlicht in: | IEEE communications letters 2014-03, Vol.18 (3), p.393-396 |
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| creator | Jang, Won Mee |
| description | We propose a blind spectrum sensing method using signal cyclostationarity. Often, signal characteristics of the primary user (PU), such as carrier frequency, data rate, modulation and coding may not be known to cognitive users. This uncertainty introduces difficulties in searching for spectrum holes in cognitive radios. At a low signal-to-noise ratio, it has been understood that monitoring the presence of the PU's signal is hardly possible without knowing its cycle frequencies. The proposed sensing method makes it possible to detect the PU's signal without the relevant information of the signal attributes. Blind spectrum sensing is also much simpler than the conventional cyclostationary spectral correlation detection. |
| doi_str_mv | 10.1109/LCOMM.2014.012714.132507 |
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Often, signal characteristics of the primary user (PU), such as carrier frequency, data rate, modulation and coding may not be known to cognitive users. This uncertainty introduces difficulties in searching for spectrum holes in cognitive radios. At a low signal-to-noise ratio, it has been understood that monitoring the presence of the PU's signal is hardly possible without knowing its cycle frequencies. The proposed sensing method makes it possible to detect the PU's signal without the relevant information of the signal attributes. Blind spectrum sensing is also much simpler than the conventional cyclostationary spectral correlation detection.</description><identifier>ISSN: 1089-7798</identifier><identifier>EISSN: 1558-2558</identifier><identifier>DOI: 10.1109/LCOMM.2014.012714.132507</identifier><identifier>CODEN: ICLEF6</identifier><language>eng</language><publisher>New York, NY: IEEE</publisher><subject>Applied sciences ; Binary phase shift keying ; blind spectrum sensing ; Cognitive radio ; cognitive radios ; cycle frequency ; Cyclostationarity ; Exact sciences and technology ; Fourier transforms ; Frequency modulation ; Information, signal and communications theory ; modulation ; Modulation, demodulation ; Noise ; Radiocommunication specific techniques ; Radiocommunications ; Sensors ; Signal and communications theory ; Signal representation. Spectral analysis ; Signal, noise ; Systems, networks and services of telecommunications ; Telecommunications ; Telecommunications and information theory ; Transmission and modulation (techniques and equipments)</subject><ispartof>IEEE communications letters, 2014-03, Vol.18 (3), p.393-396</ispartof><rights>2015 INIST-CNRS</rights><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. 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Blind spectrum sensing is also much simpler than the conventional cyclostationary spectral correlation detection.</description><subject>Applied sciences</subject><subject>Binary phase shift keying</subject><subject>blind spectrum sensing</subject><subject>Cognitive radio</subject><subject>cognitive radios</subject><subject>cycle frequency</subject><subject>Cyclostationarity</subject><subject>Exact sciences and technology</subject><subject>Fourier transforms</subject><subject>Frequency modulation</subject><subject>Information, signal and communications theory</subject><subject>modulation</subject><subject>Modulation, demodulation</subject><subject>Noise</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, noise</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><issn>1089-7798</issn><issn>1558-2558</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kF1LwzAUhoMoOKe_wJuCeNmZ76TeafELOgZOr0OapiOjS2fSCfv3Znbs5pwD533Py3kAyBCcIQSLh6pczOczDBGdQYRFaohgBsUZmCDGZI5TOU8zlEUuRCEvwVWMawihxAxNwONz53yTlXvT9XHQg-u9DvtsubVmCLtNtrQ-Or_KnM_KfuXd4H5t9qkb18drcNHqLtqbY5-C79eXr_I9rxZvH-VTlRtCxJBrahCvUYNqS01bcy61JA01xErcCFmYuuCEU22NZtqkPzTWiOIWctrKhggyBXfj3W3of3Y2Dmrd74JPkQoxRDmFmNCkkqPKhD7GYFu1DW6TflEIqgMp9U9KHUipkZQaSSXr_TFAR6O7NmhvXDz5saSQFJAl3e2oc9ba05oLSRkuyB_28HHL</recordid><startdate>20140301</startdate><enddate>20140301</enddate><creator>Jang, Won Mee</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, noise</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><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jang, Won Mee</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>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>IEEE communications letters</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Jang, Won Mee</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Blind Cyclostationary Spectrum Sensing in Cognitive Radios</atitle><jtitle>IEEE communications letters</jtitle><stitle>COML</stitle><date>2014-03-01</date><risdate>2014</risdate><volume>18</volume><issue>3</issue><spage>393</spage><epage>396</epage><pages>393-396</pages><issn>1089-7798</issn><eissn>1558-2558</eissn><coden>ICLEF6</coden><abstract>We propose a blind spectrum sensing method using signal cyclostationarity. Often, signal characteristics of the primary user (PU), such as carrier frequency, data rate, modulation and coding may not be known to cognitive users. This uncertainty introduces difficulties in searching for spectrum holes in cognitive radios. At a low signal-to-noise ratio, it has been understood that monitoring the presence of the PU's signal is hardly possible without knowing its cycle frequencies. The proposed sensing method makes it possible to detect the PU's signal without the relevant information of the signal attributes. Blind spectrum sensing is also much simpler than the conventional cyclostationary spectral correlation detection.</abstract><cop>New York, NY</cop><pub>IEEE</pub><doi>10.1109/LCOMM.2014.012714.132507</doi><tpages>4</tpages></addata></record> |
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| ispartof | IEEE communications letters, 2014-03, Vol.18 (3), p.393-396 |
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| subjects | Applied sciences Binary phase shift keying blind spectrum sensing Cognitive radio cognitive radios cycle frequency Cyclostationarity Exact sciences and technology Fourier transforms Frequency modulation Information, signal and communications theory modulation Modulation, demodulation Noise Radiocommunication specific techniques Radiocommunications Sensors Signal and communications theory Signal representation. Spectral analysis Signal, noise Systems, networks and services of telecommunications Telecommunications Telecommunications and information theory Transmission and modulation (techniques and equipments) |
| title | Blind Cyclostationary Spectrum Sensing in Cognitive Radios |
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