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Spectrum Sensing of Cognitive Radio Network Under Linear Combination of Gaussian Random Variables

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dc.contributor.author D’ Costa, John
dc.contributor.author Nazimuzzaman, Muhammad
dc.date.accessioned 2015-12-04T03:36:14Z
dc.date.available 2015-12-04T03:36:14Z
dc.date.issued 9/21/2014
dc.identifier.uri http://dspace.ewubd.edu/handle/2525/1521
dc.description This thesis submitted in partial fulfillment of the requirements for the degree of Masters of Science in Applied Physics and Electronics of East West University, Dhaka, Bangladesh en_US
dc.description.abstract In this project work we studied the Spectrum Sensing techniques for Cognitive Radio (CR) and derived Probability of Detection (PD) and Probability of False Alarm (PF) of a Cognitive Radio Network (CRN). Here we considered the test statistics as the weighted sum of the Gaussian random variables where the weighting factor depends on the eigenvalues of covariance matrix of Multiple-Input-Multiple-Output (MIMO) channel with Additive White Gaussian Noise (AWGN). We calculated PD and PF by changing channel parameters like number of sample values to find the threshold Signal-to-Noise Ratio (SNR) within condition PD above 80% and PF less than 8%. en_US
dc.language.iso en_US en_US
dc.publisher East West University en_US
dc.relation.ispartofseries ;ECE00039
dc.subject Spectrum Sensing techniques for Cognitive Radio en_US
dc.title Spectrum Sensing of Cognitive Radio Network Under Linear Combination of Gaussian Random Variables en_US
dc.type Thesis en_US


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