dc.contributor.author | Abdulla, Minaz | en |
dc.date.accessioned | 2006-08-22 13:58:00 (GMT) | |
dc.date.available | 2006-08-22 13:58:00 (GMT) | |
dc.date.issued | 2005 | en |
dc.date.submitted | 2005 | en |
dc.identifier.uri | http://hdl.handle.net/10012/873 | |
dc.description.abstract | There 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.format | application/pdf | en |
dc.format.extent | 5087617 bytes | |
dc.format.mimetype | application/pdf | |
dc.language.iso | en | en |
dc.publisher | University of Waterloo | en |
dc.rights | Copyright: 2005,
Abdulla, Minaz. All rights reserved. | en |
dc.subject | Electrical & Computer Engineering | en |
dc.subject | Uplink AOA | en |
dc.subject | Geometric Models | en |
dc.subject | Compare and Contrast | en |
dc.title | Comparing Geometric Models Against Empirical Data for Radiowave Landmobile
Cellular Uplink AOA | en |
dc.type | Master Thesis | en |
dc.pending | false | en |
uws-etd.degree.department | Electrical and Computer Engineering | en |
uws-etd.degree | Master of Applied Science | en |
uws.typeOfResource | Text | en |
uws.peerReviewStatus | Unreviewed | en |
uws.scholarLevel | Graduate | en |