Data collection in 5G physical layer for machine learning

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dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.advisorMedeiros, Luiz
dc.contributor.authorKähärä, Rasmus
dc.contributor.schoolSähkötekniikan korkeakoulufi
dc.contributor.supervisorTirkkonen, Olav
dc.date.accessioned2023-03-26T17:05:55Z
dc.date.available2023-03-26T17:05:55Z
dc.date.issued2023-03-20
dc.format.extent51+1
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/120235
dc.identifier.urnURN:NBN:fi:aalto-202303262558
dc.language.isoenen
dc.locationP1fi
dc.programmeAEE - Master’s Programme in Automation and Electrical Engineering (TS2013)fi
dc.programme.majorControl, robotics and autonomous systemsfi
dc.programme.mcodeELEC3025fi
dc.subject.keyword5Gen
dc.subject.keywordphysical layeren
dc.subject.keyworddata collectionen
dc.subject.keywordchannel estimationen
dc.subject.keyworddigital communicationen
dc.subject.keywordbase station receiveren
dc.titleData collection in 5G physical layer for machine learningen
dc.titleDatan kerääminen 5G-tukiasemalta koneoppimismenetelmiä vartenfi
dc.typeG2 Pro gradu, diplomityöfi
dc.type.ontasotMaster's thesisen
dc.type.ontasotDiplomityöfi
local.aalto.electroniconlyyes
local.aalto.openaccessno
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