WiMAX in Coastal Traffic and Performance Prediction in a Geographically Challenging Environment
This thesis takes upon itself to describe the medium of the radio channel for a WiMAX installation in a difficult environment. Furthermore it investigates the possibility of modifying the WiMAX standard in order to increase per- formance in such an environment. Channel estimators are crucial in op...
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ndltd-UPSALLA1-oai-DiVA.org-ntnu-98122013-01-08T13:26:38ZWiMAX in Coastal Traffic and Performance Prediction in a Geographically Challenging EnvironmentengFormanek, Jan GerhardsenNorges teknisk-naturvitenskapelige universitet, Institutt for teknisk kybernetikkInstitutt for teknisk kybernetikk2009ntnudaimSIE3 teknisk kybernetikkIndustriell datateknikkThis thesis takes upon itself to describe the medium of the radio channel for a WiMAX installation in a difficult environment. Furthermore it investigates the possibility of modifying the WiMAX standard in order to increase per- formance in such an environment. Channel estimators are crucial in optimizing throughput in WiMAX. Their performance is dependent on the amount of information in the pilot subcarriers of WiMAX. A way of adding information to the channel esti- mators without taking more of the bandwidth is to use a model in series with the data estimates. An already existing Kalman filter based algorithm for radio channel estimation is studied and compared to a WiMAX model. Modifications are suggested to fit the WiMAX signals. To extend a network fast in areas where there is little or no infrastructure to begin with is a task that can be performed by ad hoc network solutions. A statistical model for outage in ad hoc networks is studied and an evalua- tion on WiMAXs capability of operating in an Ad hoc network structure is performed. Student thesisinfo:eu-repo/semantics/bachelorThesistexthttp://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-9812Local ntnudaim:4438application/pdfinfo:eu-repo/semantics/openAccess |
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ntnudaim SIE3 teknisk kybernetikk Industriell datateknikk |
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ntnudaim SIE3 teknisk kybernetikk Industriell datateknikk Formanek, Jan Gerhardsen WiMAX in Coastal Traffic and Performance Prediction in a Geographically Challenging Environment |
description |
This thesis takes upon itself to describe the medium of the radio channel for a WiMAX installation in a difficult environment. Furthermore it investigates the possibility of modifying the WiMAX standard in order to increase per- formance in such an environment. Channel estimators are crucial in optimizing throughput in WiMAX. Their performance is dependent on the amount of information in the pilot subcarriers of WiMAX. A way of adding information to the channel esti- mators without taking more of the bandwidth is to use a model in series with the data estimates. An already existing Kalman filter based algorithm for radio channel estimation is studied and compared to a WiMAX model. Modifications are suggested to fit the WiMAX signals. To extend a network fast in areas where there is little or no infrastructure to begin with is a task that can be performed by ad hoc network solutions. A statistical model for outage in ad hoc networks is studied and an evalua- tion on WiMAXs capability of operating in an Ad hoc network structure is performed. |
author |
Formanek, Jan Gerhardsen |
author_facet |
Formanek, Jan Gerhardsen |
author_sort |
Formanek, Jan Gerhardsen |
title |
WiMAX in Coastal Traffic and Performance Prediction in a Geographically Challenging Environment |
title_short |
WiMAX in Coastal Traffic and Performance Prediction in a Geographically Challenging Environment |
title_full |
WiMAX in Coastal Traffic and Performance Prediction in a Geographically Challenging Environment |
title_fullStr |
WiMAX in Coastal Traffic and Performance Prediction in a Geographically Challenging Environment |
title_full_unstemmed |
WiMAX in Coastal Traffic and Performance Prediction in a Geographically Challenging Environment |
title_sort |
wimax in coastal traffic and performance prediction in a geographically challenging environment |
publisher |
Norges teknisk-naturvitenskapelige universitet, Institutt for teknisk kybernetikk |
publishDate |
2009 |
url |
http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-9812 |
work_keys_str_mv |
AT formanekjangerhardsen wimaxincoastaltrafficandperformancepredictioninageographicallychallengingenvironment |
_version_ |
1716520578755592192 |