Wideband channel characterization : simulation and measurements analysis

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.advisorLostanlen, Yves; D.Sc.
dc.contributor.authorDupuy, Florian
dc.contributor.departmentDepartment of Radio Science and Engineeringen
dc.contributor.departmentRadiotieteen ja -tekniikan laitosfi
dc.contributor.schoolFaculty of Electronics, Communications and Automationen
dc.contributor.schoolElektroniikan, tietoliikenteen ja automaation tiedekuntafi
dc.contributor.supervisorIcheln, Clemens; Prof. (pro tem)
dc.date.accessioned2011-12-08T09:52:50Z
dc.date.available2011-12-08T09:52:50Z
dc.date.issued2008
dc.description.abstractThe development of wireless telecommunication requires higher speed data rates. Wideband MIMO systems are a possible answer to that need. Both wideband and MIMO characteristics enhance multipath propagation, and require a precise knowledge of the channel to properly exploit their capabilities. The extraction of the channel parameters can be done from the measurements, but also from simulations. In the frame of this thesis, the possibility to use ray tracing to derive capacity coverage prediction is studied, based on the comparison with measurements. First the radio channel models are discussed, from the MIMO channel model to the ray tracing methods. Then the measurements methods and the algorithms extracting the channel parameters are presented, before focusing on a measurement campaign to compare prediction from ray tracing and measurements-based SAGE algorithm. Key parameters for capacity –delay spread and angular spread– were first compared, then capacity itself is introduced and a capacity comparison is conducted. Polarization influence on capacity is also studied, and different methods of emulating polarization on ray tracing are studied. Last but not least, the desired capacity coverage prediction is achieved on a wide area around the measurement streets. The simulation results with the ray tracing software are promising. The multipath components were predicted well enough by ray tracing to compute capacity. Then the polarization emulating methods gave interesting results: polarization influences capacity, and the derived capacity values were close enough to those computed from measurement to launch a capacity coverage calculation, first step toward a cellular planning based on MIMO capacity. However, some uncertainties are still left, due to computation time and models approximations.en
dc.format.extent61
dc.format.mimetypeapplication/pdf
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/1104
dc.identifier.urnurn:nbn:fi:tkk-012408
dc.language.isoenen
dc.locationP1fi
dc.programmeElektroniikan ja sähkötekniikan tutkinto-ohjelmafi
dc.programme.majorRadio Engineeringen
dc.programme.majorRadiotekniikkafi
dc.programme.mcodeS-26
dc.publisherHelsinki University of Technologyen
dc.publisherTeknillinen korkeakoulufi
dc.rights.accesslevelopenAccess
dc.subject.keywordray tracingen
dc.subject.keywordSAGEen
dc.subject.keywordbeamformingen
dc.subject.keywordradio channel modellingen
dc.subject.keywordMIMOen
dc.subject.keywordpolarizationen
dc.subject.keywordXPRen
dc.subject.keywordcapacityen
dc.subject.otherElectrical engineeringen
dc.titleWideband channel characterization : simulation and measurements analysisen
dc.typeG2 Pro gradu, diplomityöfi
dc.type.dcmitypetexten
dc.type.okmG2 Pro gradu, diplomityö
dc.type.ontasotDiplomityöfi
dc.type.ontasotMaster's thesisen
dc.type.publicationmasterThesis
local.aalto.digifolderAalto_33640
local.aalto.idinssi36595
local.aalto.openaccessyes
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