Dataflow Modeling and Design for Cognitive Radio Networks

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dc.citation.conferenceDate2013en_US
dc.citation.conferenceName8th International Conference on Cognitive Radio Oriented Wireless Networks (CROWNCOM)en_US
dc.citation.firstpage196
dc.citation.lastpage201
dc.citation.locationWashington, DCen_US
dc.contributor.authorWang, Lai-Huei
dc.contributor.authorBhattacharyya, Shuvra S.
dc.contributor.authorVosoughi, Aida
dc.contributor.authorCavallaro, Joseph R.
dc.contributor.authorJuntti, Markku
dc.contributor.authorBoutellier, Jani
dc.contributor.authorSilven, Olli
dc.contributor.authorValkama, Mikko
dc.contributor.orgCMCen_US
dc.date.accessioned2013-10-25T14:51:15Z
dc.date.available2013-10-25T14:51:15Z
dc.date.issued2013-10-01eng
dc.description.abstractCognitive radio networks present challenges at many levels of design including configuration, control, and crosslayer optimization. In this paper, we focus primarily on dataflow representations to enable flexibility and reconfigurability in many of the baseband algorithms. Dataflow modeling will be important to provide a layer of abstraction and will be applied to generate flexible baseband representations for cognitive radio testbeds, including the Rice WARP platform. As RF frequency agility and reconfiguration for carrier aggregation are important goals for 4G LTE Advanced systems, we also focus on dataflow analysis for digital pre-distortion algorithms. A new design method called parameterized multidimensional design hierarchy mapping(PMDHM) is presented, along with initial speedup results from applying PMDHM in the mapping of channel estimation onto a GPU architecture.en_US
dc.description.sponsorshipUS National Science Foundationen_US
dc.description.sponsorshipFinish Funding Agency for Technology and Innovationen_US
dc.identifier.citationL. Wang, S. S. Bhattacharyya, A. Vosoughi, J. R. Cavallaro, M. Juntti, J. Boutellier, O. Silven and M. Valkama, "Dataflow Modeling and Design for Cognitive Radio Networks," 2013.*
dc.identifier.doihttp://dx.doi.org/10.4108/icst.crowncom.2013.252125en_US
dc.identifier.urihttps://hdl.handle.net/1911/75003
dc.language.isoengen
dc.publisher8th International Conference on Cognitive Radio Oriented Wireless Networksen_US
dc.subjectDataflow modelingen_US
dc.subjectparameterized multidimensional design hierarchy mappingen_US
dc.subjectflexible basebanden_US
dc.subjectdigital pre-distortion algorithmsen_US
dc.titleDataflow Modeling and Design for Cognitive Radio Networksen_US
dc.typeConference paperen_US
dc.type.dcmiTexten
dc.type.dcmiTexten_US
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