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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Main Author: Formanek, Jan Gerhardsen
Format: Others
Language:English
Published: Norges teknisk-naturvitenskapelige universitet, Institutt for teknisk kybernetikk 2009
Subjects:
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-9812
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spelling 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 WiMAX’s 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
collection NDLTD
language English
format Others
sources NDLTD
topic ntnudaim
SIE3 teknisk kybernetikk
Industriell datateknikk
spellingShingle 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 WiMAX’s 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
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