A Novel Technique for Wideband Spectrum Sensing in Cognitive Radio Through Phase-Field Segmentation
The problem of wideband spectrum sensing for detecting vacant frequency subbands for opportunistic cognitive radio is investigated. This is achieved through the identification of irregularities (discontinuities) in the estimated power spectrum density. In this paper, we propose a new mathematical fr...
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| Veröffentlicht in: | Wireless personal communications 2013, Vol.68 (1), p.115-130 |
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| container_title | Wireless personal communications |
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| creator | Eslami, Mohammad Sadough, Seyed Mohammad-Sajad |
| description | The problem of wideband spectrum sensing for detecting vacant frequency subbands for opportunistic cognitive radio is investigated. This is achieved through the identification of irregularities (discontinuities) in the estimated power spectrum density. In this paper, we propose a new mathematical framework based on phase-field segmentation method, usually used in the image processing community. We show that by properly setting the parameters of the phase-field function, robustness to fluctuations of the edge threshold value (due to estimation errors for instance) used for spectrum sensing can be achieved. Our numerical results indicate that the sensing accuracy is improved, while the computational complexity is reduced, when compared to conventional methods. |
| doi_str_mv | 10.1007/s11277-011-0442-0 |
| format | Article |
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This is achieved through the identification of irregularities (discontinuities) in the estimated power spectrum density. In this paper, we propose a new mathematical framework based on phase-field segmentation method, usually used in the image processing community. We show that by properly setting the parameters of the phase-field function, robustness to fluctuations of the edge threshold value (due to estimation errors for instance) used for spectrum sensing can be achieved. Our numerical results indicate that the sensing accuracy is improved, while the computational complexity is reduced, when compared to conventional methods.</description><identifier>ISSN: 0929-6212</identifier><identifier>EISSN: 1572-834X</identifier><identifier>DOI: 10.1007/s11277-011-0442-0</identifier><language>eng</language><publisher>Boston: Springer US</publisher><subject>Algorithmics. Computability. Computer arithmetics ; Applied sciences ; Artificial intelligence ; Cognitive radio ; Communications Engineering ; Computer Communication Networks ; Computer science; control theory; systems ; Density ; Detection ; Engineering ; Exact sciences and technology ; Image processing ; Irregularities ; Mathematical models ; Networks ; Pattern recognition. Digital image processing. Computational geometry ; Radiocommunications ; Segmentation ; Signal,Image and Speech Processing ; Telecommunications ; Telecommunications and information theory ; Theoretical computing ; Transmitters. 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This is achieved through the identification of irregularities (discontinuities) in the estimated power spectrum density. In this paper, we propose a new mathematical framework based on phase-field segmentation method, usually used in the image processing community. We show that by properly setting the parameters of the phase-field function, robustness to fluctuations of the edge threshold value (due to estimation errors for instance) used for spectrum sensing can be achieved. Our numerical results indicate that the sensing accuracy is improved, while the computational complexity is reduced, when compared to conventional methods.</description><subject>Algorithmics. Computability. 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Receivers</topic><topic>Wideband</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Eslami, Mohammad</creatorcontrib><creatorcontrib>Sadough, Seyed Mohammad-Sajad</creatorcontrib><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><jtitle>Wireless personal communications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Eslami, Mohammad</au><au>Sadough, Seyed Mohammad-Sajad</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Novel Technique for Wideband Spectrum Sensing in Cognitive Radio Through Phase-Field Segmentation</atitle><jtitle>Wireless personal communications</jtitle><stitle>Wireless Pers Commun</stitle><date>2013</date><risdate>2013</risdate><volume>68</volume><issue>1</issue><spage>115</spage><epage>130</epage><pages>115-130</pages><issn>0929-6212</issn><eissn>1572-834X</eissn><abstract>The problem of wideband spectrum sensing for detecting vacant frequency subbands for opportunistic cognitive radio is investigated. 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| subjects | Algorithmics. Computability. Computer arithmetics Applied sciences Artificial intelligence Cognitive radio Communications Engineering Computer Communication Networks Computer science control theory systems Density Detection Engineering Exact sciences and technology Image processing Irregularities Mathematical models Networks Pattern recognition. Digital image processing. Computational geometry Radiocommunications Segmentation Signal,Image and Speech Processing Telecommunications Telecommunications and information theory Theoretical computing Transmitters. Receivers Wideband |
| title | A Novel Technique for Wideband Spectrum Sensing in Cognitive Radio Through Phase-Field Segmentation |
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