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dc.contributor.authorBen Issaid, Chaouki
dc.contributor.authorAlouini, Mohamed-Slim
dc.contributor.authorTempone, Raul
dc.date.accessioned2016-10-13T08:41:58Z
dc.date.available2016-10-13T08:41:58Z
dc.date.issued2016-10
dc.identifier.urihttp://hdl.handle.net/10754/620972
dc.description.abstractIn this paper, we are interested in determining the cumulative distribution function of the sum of generalized Gamma in the setting of rare event simulations. To this end, we present an efficient importance sampling estimator. The main result of this work is the bounded relative property of the proposed estimator. This result is used to accurately estimate the outage probability of multibranch maximum ratio combining and equal gain combining diversity receivers over generalized Gamma fading channels. Selected numerical simulations are discussed to show the robustness of our estimator compared to naive Monte Carlo.
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectgeneralized Gamma distribution
dc.subjectImportance Sampling
dc.subjectMonte Carlo
dc.subjectbounded relative error
dc.subjectOutage Probability
dc.subjectDiversity Techniques
dc.titleEfficient Outage Probability Evaluation of Diversity Receivers Over Generalized Gamma Channels
dc.typeTechnical Report
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
refterms.dateFOA2018-06-13T18:03:19Z


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