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dc.creatorRekonen, Samuli
dc.date.accessioned2017-05-26T08:21:27Z
dc.date.available2017-05-26T08:21:27Z
dc.identifier.urihttp://dspace.cc.tut.fi/dpub/handle/123456789/24929
dc.description.abstractLicensed Assisted Access is a 3GPP specified feature, for using the unlicensed frequen-cy band as a supplemental transmission medium to the licensed band. LAA uses clear channel assessment, for discovering the channel state and accessing the medium. LAA provides a contention based algorithm, featuring a conservative listen-before-talk scheme, and random back-off. This CCA scheme is thought to increase co-existence with existing technologies in the unlicensed band, namely, WLAN and Bluetooth. Application-specific instruction-set processors can be tailored to fit most applications, and offer increased flexibility to hardware design through, programmable solutions. ASIP architecture is defined by the designer, while the ASIP tools provide retargetable compiler generation and automatic hardware description generation, for faster design exploration. In this thesis, we explore the 3GPP LAA downlink requirements, and identify the key processing challenges as FFT, energy detection and carrier state maintenance. To design an efficient ASIP for LAA, we explore the different architectural choices we have available and arrive at a statically scheduled, multi-issue architecture. We evaluate dif-ferent design approaches, and choose a Nokia internal ASIP design as the basis for our solution. We modify the design, to meet our requirements and conclude that the pro-posed solution should fit the LAA use case well.en
dc.format.extentvii, 45
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.rightsThis publication is copyrighted. You may download, display and print it for Your own personal use. Commercial use is prohibited.
dc.titleApplication-Specific Instruction-Set Processor for Future Radio Integrated Circuitsen
dc.title.alternativeSovelluskohtainen käskykantaprosessori tulevaisuuden radiomikropiireihin
dc.identifier.urnURN:NBN:fi:tty-201705261536
dc.contributor.laitosTietotekniikka – Pervasive Computingen
dc.contributor.tiedekuntaTieto- ja sähkötekniikan tiedekunta – Faculty of Computing and Electrical Engineeringen
dc.contributor.yliopistoTampereen teknillinen yliopisto - Tampere University of Technology
dc.programmeTietotekniikkaen
dc.date.published2017-06-07
dc.permissionPermission granteden
dc.contributor.degreesupervisorTakala, Jarmo
dc.type.ontasotDiplomityö - Master's thesis


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