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

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