Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/423376
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DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | ||
dc.date.accessioned | 2022-12-09T06:22:44Z | - |
dc.date.available | 2022-12-09T06:22:44Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/423376 | - |
dc.description.abstract | Cognitive 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.language | English | |
dc.relation | ||
dc.rights | university | |
dc.title | Cognitive Radio Synchronized Reliable Cooperative Spectrum Sensing Using Non Orthogonal Multiple Access Noma for 5g Wireless Communication | |
dc.title.alternative | ||
dc.creator.researcher | Balachander, T | |
dc.subject.keyword | Computer Science | |
dc.subject.keyword | Computer Science Software Engineering | |
dc.subject.keyword | Engineering and Technology | |
dc.description.note | ||
dc.contributor.guide | Mukesh Krishnan, M B | |
dc.publisher.place | Kattankulathur | |
dc.publisher.university | SRM Institute of Science and Technology | |
dc.publisher.institution | Department of Computer Science Engineering | |
dc.date.registered | ||
dc.date.completed | 2022 | |
dc.date.awarded | 2022 | |
dc.format.dimensions | ||
dc.format.accompanyingmaterial | DVD | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | Department of Computer Science Engineering |
Files in This Item:
File | Description | Size | Format | |
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01_title.pdf | Attached File | 211.58 kB | Adobe PDF | View/Open |
02_preliminary page.pdf | 213.38 kB | Adobe PDF | View/Open | |
03_content.pdf | 187.6 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 189.86 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 1.76 MB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 259.97 kB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 623.01 kB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 623.85 kB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 1.12 MB | Adobe PDF | View/Open | |
10_chapter 6.pdf | 187.96 kB | Adobe PDF | View/Open | |
11_annexures.pdf | 263.51 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 223 kB | Adobe PDF | View/Open |
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