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dc.contributor.authorAhmed, Qasim Zeeshan
dc.contributor.authorPark, Kihong
dc.contributor.authorAlouini, Mohamed-Slim
dc.date.accessioned2017-06-01T10:20:43Z
dc.date.available2017-06-01T10:20:43Z
dc.date.issued2014-01-06
dc.identifier.urihttp://hdl.handle.net/10754/624009
dc.description.abstractMultivariate generalized Gaussian density (MGGD) is used to approximate the multiple access interference (MAI) and additive white Gaussian noise in pulse-based ultrawide bandwidth (UWB) system. The MGGD probability density function (pdf) is shown to be a better approximation of a UWB system as compared to Gaussian, Laplacian and Gaussian-Laplacian mixture (GLM). The similarity between the simulated and the approximated pdf is measured with the help of modified Kullback-Leibler distance (KLD). It is also shown that MGGD has the smallest KLD as compared to Gaussian, Laplacian and GLM densities. Finally, a receiver based on the principles of minimum bit error rate is designed for the MGGD pdf.
dc.subjectWireless
dc.titleModeling of MAI in UWB System Using MGGD
dc.typePoster
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentElectrical Engineering Program
dc.contributor.departmentComputer, Electrical and Mathematical Sciences & Engineering (CEMSE)
dc.conference.dateJanuary 6-10, 2014
dc.conference.nameAdvances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2014)
dc.conference.locationKAUST
kaust.personAhmed, Qasim Zeeshan
kaust.personPark, Kihong
kaust.personAlouini, Mohamed-Slim
refterms.dateFOA2018-06-14T04:52:06Z


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