Comparing Geometric Models Against Empirical Data for Radiowave Landmobile Cellular Uplink AOA

dc.contributor.authorAbdulla, Minazen
dc.date.accessioned2006-08-22T13:58:00Z
dc.date.available2006-08-22T13:58:00Z
dc.date.issued2005en
dc.date.submitted2005en
dc.description.abstractThere has been an increase in demand for efficient wireless systems. Smart antennas using position location are one possible way to improve the capacity of cellular systems. In order to deploy such systems successfully, the wireless network must properly exploit the processing of spatial information (ie. The uplink angle of arrival) through wireless channel models. Geometric modelling is a technique to model the wireless environment. When compared to other methods such as ray tracing simulations, geometric models allow one to classify a wide varity of environments within a single model. Secondly, there have been much research in the past to obtain empirical measurements in many different environment settings. These measurements have been recorded, however, there has been no research undertaken to systematically compare and validate the empirical findings with current geometric models. The goal of this research is to compare and constrast geometric models with empirical data in order to show which models are best suited for specific wireless environments. The uplink angle of arrival (AOA) probability distribution is the fading metric that will be used to compare and contrast these models.en
dc.formatapplication/pdfen
dc.format.extent5087617 bytes
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/10012/873
dc.language.isoenen
dc.pendingfalseen
dc.publisherUniversity of Waterlooen
dc.rightsCopyright: 2005, Abdulla, Minaz. All rights reserved.en
dc.subjectElectrical & Computer Engineeringen
dc.subjectUplink AOAen
dc.subjectGeometric Modelsen
dc.subjectCompare and Contrasten
dc.titleComparing Geometric Models Against Empirical Data for Radiowave Landmobile Cellular Uplink AOAen
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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