Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/423376
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dc.coverage.spatial
dc.date.accessioned2022-12-09T06:22:44Z-
dc.date.available2022-12-09T06:22:44Z-
dc.identifier.urihttp://hdl.handle.net/10603/423376-
dc.description.abstractCognitive Radio Networks (CRNs) based on 5G offers high throughput, low latency, and a newlinebroad range of connectivity. The Non-Orthogonal Multiple Access (NOMA) technique can be newlineused to achieve this goal by reusing resources in spatial and temporal variations. A NOMA uses newlinethe various channel gains inside a single cell to assign the same frequency to several users. A newlineNOMA is used in conjunction with a MIMO (multiple-input, multiple-output) system. CRNs newlineandNOMA are critical components of the 5G wireless communication infrastructure. However, newlinethe system provides a unique technique for cognitive users to protect their communication from newlineinterferences in a cognitive radio network based on multiple-input multiple-output (MIMO)- newlineNOMA. A unique antenna beam-forming technique is proposed to secure information sharing newlinewithin and between cells from all intervening users. The secondary user s (SU s) insufficient newlinespectrum sensing induces interference newline
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleCognitive Radio Synchronized Reliable Cooperative Spectrum Sensing Using Non Orthogonal Multiple Access Noma for 5g Wireless Communication
dc.title.alternative
dc.creator.researcherBalachander, T
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Software Engineering
dc.subject.keywordEngineering and Technology
dc.description.note
dc.contributor.guideMukesh Krishnan, M B
dc.publisher.placeKattankulathur
dc.publisher.universitySRM Institute of Science and Technology
dc.publisher.institutionDepartment of Computer Science Engineering
dc.date.registered
dc.date.completed2022
dc.date.awarded2022
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Computer Science Engineering

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01_title.pdfAttached File211.58 kBAdobe PDFView/Open
02_preliminary page.pdf213.38 kBAdobe PDFView/Open
03_content.pdf187.6 kBAdobe PDFView/Open
04_abstract.pdf189.86 kBAdobe PDFView/Open
05_chapter 1.pdf1.76 MBAdobe PDFView/Open
06_chapter 2.pdf259.97 kBAdobe PDFView/Open
07_chapter 3.pdf623.01 kBAdobe PDFView/Open
08_chapter 4.pdf623.85 kBAdobe PDFView/Open
09_chapter 5.pdf1.12 MBAdobe PDFView/Open
10_chapter 6.pdf187.96 kBAdobe PDFView/Open
11_annexures.pdf263.51 kBAdobe PDFView/Open
80_recommendation.pdf223 kBAdobe PDFView/Open


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