Matches in SemOpenAlex for { <https://semopenalex.org/work/W1844832018> ?p ?o ?g. }
- W1844832018 abstract "This dissertation focuses on radio wave propagation prediction modeling in microcellularenvironments. Mathematical modeling techniques and channel characterizationhave been addressed. The research begins with a survey of ray-tracing basedpropagation prediction modeling methods and the evolution of diffraction modeling,and makes three new contributions.First, diffraction theory has been used to enhance the accuracy in shadowedregions for ray-tracing algorithms by a novel, computationally fast approach. Aparametric formulation of the UTD diffraction coefficient has been proposed usingthe inverse problem theory. Significant improvement in the estimation of thediffracted field for right-angle dielectric wedges is achieved over existing heuristicmethods. This construction offers a faster estimation of the diffracted field and issuitable for real-time wireless channel estimation. The diffraction modeling methodhas been applied in indoor and outdoor environments to expedite propagation prediction.Next, the ray-tracing prediction modeling method developed on the NSFMontage project is applied and validated with published measurements at 800 MHzin the San Francisco financial area to investigate the ability to predict and modelwave propagation in a dense urban environment. Cross-correlation of the predictedand the measured signal strengths has been calculated at various street intersectionsand correlation coefficients of higher than 0.8 are achieved under all circumstanceswhere corner effect occurs. Further investigations show that the waveguide effect inthe street canyon is only applicable to the propagation phenomena in radial streetswith respect to the transmitter. While in the case of cross streets that are not closeto the transmitter, wave penetration through the building walls makes significantcontribution to signal variations.Finally, site-specific prediction is applied to the campus of Pickle ResearchCenter at UT-Austin to study the MIMO channel characteristics. The predictionusing a 4 × 8 uniform linear array system operating at 1.8 GHz shows that S4W isable to reproduce fading statistics and that the estimation of MIMO channel capacityusing ray-tracing method is dependent on the accuracy of the input propagationenvironment." @default.
- W1844832018 created "2016-06-24" @default.
- W1844832018 creator A5033076947 @default.
- W1844832018 date "2005-01-01" @default.
- W1844832018 modified "2023-09-27" @default.
- W1844832018 title "Modeling and wideband characterization of radio wave propagation in microcells" @default.
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