Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/454911
Title: Design and Development of a Novel Spectrum Sensing Technique for Cognitive Radio Networks
Researcher: Sharma, Vatsala
Guide(s): Joshi, Sunil
Keywords: Engineering
Engineering and Technology
Engineering Electrical and Electronic
University: Maharana Pratap University of Agriculture and Technology
Completed Date: 2020
Abstract: Cognitive radio (CR) is a rapidly growing technology that can be employed to effectively newlineutilize the radio spectrum. Spectrum Sensing (SS) i.e. detection of vacant holes (unused newlineband) is a key feature in cognitive radio technology. Various spectrum sensing techniques newlineare documented in literature are explained and compared, denoting various research newlineregimes of spectrum detection in cognitive radio networks. This thesis explains the newlineimproved performance of cooperative spectrum sensing in cognitive radio networks newlinebased on multiple thresholds. It depicts that use of an enhanced energy detector instead of newlineconventional energy detector results in better total error rate and optimizes the number of newlineCR nodes. Multiple threshold based Enhanced energy detector (MTE-ED) is based on newlineincreased positive power as compared to the conventional energy detector whose decision newlinestatistics is based on square of signal amplitude. Despite of this advantage, the challenges newlinefaced during the hardware implementation of the proposed technique are also addressed. newlineCooperation based sensing is implemented to increase the accuracy of detection. newlineCooperation is achieved using majority rule based decision fusion scheme. The newlineperformance analysis of the implemented energy detection technique is done with respect to the detection probabilities. Contd.... newline
Pagination: 200
URI: http://hdl.handle.net/10603/454911
Appears in Departments:Electronics and Communication Engineering

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01_title.pdfAttached File104.63 kBAdobe PDFView/Open
02_prelim pages.pdf199.41 kBAdobe PDFView/Open
03_content.pdf96.37 kBAdobe PDFView/Open
04_abstract.pdf43.14 kBAdobe PDFView/Open
05_chapter 1.pdf558.11 kBAdobe PDFView/Open
06_chapter 2.pdf467.94 kBAdobe PDFView/Open
07_chapter 3.pdf678.3 kBAdobe PDFView/Open
08_chapter 4.pdf1.62 MBAdobe PDFView/Open
09_chapter 5.pdf593.5 kBAdobe PDFView/Open
10_annexures.pdf302.2 kBAdobe PDFView/Open
80_recommendation.pdf94.09 kBAdobe PDFView/Open
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