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Cooperative Diversity for Fading Channels in the Presence of Impulsive Noise

dc.contributor.authorAldharrab, Suhail Ibrahim
dc.date.accessioned2008-12-22T21:07:46Z
dc.date.available2008-12-22T21:07:46Z
dc.date.issued2008-12-22T21:07:46Z
dc.date.submitted2008-12
dc.description.abstractAlthough there already exists a rich literature on cooperative diversity, current results are mainly restricted to the conventional assumption of additive white Gaussian noise (AWGN). AWGN model realistically represents the thermal noise at the receiver, but ignores the impulsive nature of atmospheric noise, electromagnetic interference, or man-made noise which might be dominant in many practical applications. In this thesis, we investigate the performance of cooperative communication over Rayleigh fading channels in the presence of impulsive noise modeled by Middleton Class A noise. We consider a multi-relay network with amplify-and-forward relaying and orthogonal cooperation protocol. As for the coding across the relays, we employ either space-time coding or repetition coding. For each scheme, we assume various scenarios based on relays’ location and quantify the diversity advantages through the derivation of the pairwise error probability. Based on the minimization of a union bound on the error rate performance, we further propose optimal power allocation schemes and demonstrate significant performance gains over their counterparts with equal power allocation. We finally present an extensive Monte Carlo simulation to confirm our analytical results and corroborate on our results.en
dc.identifier.urihttp://hdl.handle.net/10012/4158
dc.language.isoenen
dc.pendingfalseen
dc.publisherUniversity of Waterlooen
dc.subjectCooperative diversityen
dc.subjectImpulsive noiseen
dc.subjectspace time codingen
dc.subjectpower allocationen
dc.subjectcooperationen
dc.subjectdiversityen
dc.subject.programElectrical and Computer Engineeringen
dc.titleCooperative Diversity for Fading Channels in the Presence of Impulsive Noiseen
dc.typeMaster Thesisen
uws-etd.degreeMaster of Applied Scienceen
uws-etd.degree.departmentElectrical and Computer Engineeringen
uws.peerReviewStatusUnrevieweden
uws.scholarLevelGraduateen
uws.typeOfResourceTexten

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