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Energy Detection in Cognitive Radio Network (CRN) under Rayleigh Nakagami-m Fading Channels

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dc.contributor.author Akter, Shirin
dc.contributor.author Hossain, Mohammad
dc.date.accessioned 2015-07-14T07:29:06Z
dc.date.available 2015-07-14T07:29:06Z
dc.date.issued 12/2/2014
dc.identifier.uri http://dspace.ewubd.edu/handle/2525/1305
dc.description This thesis submitted in partial fulfillment of the requirements for the degree of Masters of Science in Telecommunication Engineering of East West University, Dhaka, Bangladesh en_US
dc.description.abstract The performance of a Cognitive radio network depends on, how successfully the Secondary User (SU) can detect the present of Primary User (PU) and recognize the false alarm arises from interferences. In this research project, we determine the profile of probability of detection and probability of false alarm of a Secondary User under Rayleigh and Nakagami-m fading channels. Here, we use the combination of fading and Additive White Gaussian Noise (AWGN) as the impairments of the signal. We detect both the above parameters analytically and verified by Monte Carlo Simulation. The analytical and simulation results are found very closed to each other. en_US
dc.language.iso en_US en_US
dc.publisher East West University en_US
dc.relation.ispartofseries ;ECE00029
dc.subject Cognitive Radio Network (CRN) under Rayleigh Nakagami-m en_US
dc.title Energy Detection in Cognitive Radio Network (CRN) under Rayleigh Nakagami-m Fading Channels en_US
dc.type Thesis en_US


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