Print Email Facebook Twitter Ray-based Propagation Modeling for OFDM-based Mobile Networks Title Ray-based Propagation Modeling for OFDM-based Mobile Networks Author Bokiye, A.M. Contributor Coccia, A. (mentor) Nikookar, H. (mentor) Mantel, O.C. (mentor) Faculty Electrical Engineering, Mathematics and Computer Science Department Telecommunications Date 2009-07-10 Abstract The demand for high data rate is ever increasing. OFDM-based wideband systems such as LTE and WiMAX are being employed as they can provide such high data rates. The performances of these systems not only depend on SNR but also on wideband arameters such as delay spread and angular spread. Obstacles (buildings, trees, vehicles, lamp posts, etc.) in radio propagation environment can cause reflection, diffaction and scattering ofthe radio signal. This results in attenuation, dispersion in time and spreading in angle of the radio signal at the receiver. The resulting delay spread and angular spread affect the performance of OFDM and MIMO technologies respectively, which are adopted for future mobile network systems (LTE and WiMAX). To evaluate the performance of wideband OFDM-MIMO systems, it is therefore important that these wideband parameters be accurately predicted. Propagation modeling based on ray-tracing can be used to predict these wideband parameters. To this end, the prediction accuracies that these models can provide in different scenarios have to be evaluated. In this thesis, the prediction accuracy of received power, delay spread and angular spread that was achieved by using 3D ray-tracing prediction model has been evaluated by comparing predictions with wideband field measurements. The prediction results showed reasonable agreement with the measurements. The effects of parameter settings of ray-based propagation model on the predictions were also studied and the results are presented in this thesis. Subject ray-tracing modelingOFDM systemspredictions of wideband parameters To reference this document use: http://resolver.tudelft.nl/uuid:5ed52960-e32a-4316-b04a-ebbfef747ccf Part of collection Student theses Document type master thesis Rights (c) 2009 Bokiye, A.M. Files PDF MScThesisAman.pdf 2.38 MB Close viewer /islandora/object/uuid:5ed52960-e32a-4316-b04a-ebbfef747ccf/datastream/OBJ/view