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Parallel Implementation Strategies for MIMO ID-BICM Systems

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Parallel Implementation Strategies for MIMO ID-BICM Systems

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dc.contributor.author Simarro Haro, Mª de los Angeles es_ES
dc.contributor.author Ramiro Sánchez, Carla es_ES
dc.contributor.author Martínez Zaldívar, Francisco José es_ES
dc.contributor.author Vidal Maciá, Antonio Manuel es_ES
dc.contributor.author González Téllez, Alberto es_ES
dc.contributor.author Piñero Sipán, María Gemma es_ES
dc.contributor.author García Mollá, Víctor Manuel es_ES
dc.date.accessioned 2015-11-23T12:58:51Z
dc.date.available 2015-11-23T12:58:51Z
dc.date.issued 2013
dc.identifier.issn 1889-8297
dc.identifier.uri http://hdl.handle.net/10251/57906
dc.description.abstract [EN] One of the current techniques proposed for multiple transmit and receive antennas wireless communication systems is the use of error control coding and iterative detection and decoding at the receiver. These sophisticated techniques produce a significant increase of the computational cost and require large computational power. The use of modern computer facilities as multicore and multi-GPU (Graphics Processing Unit) processors can decrease the computational time required, representing a promising solution for the receiver implementation in these systems. In this paper we explain how iterative receivers can improve the performance of suboptimal detectors. We also introduce a novel parallel receiver scheme based on a hybrid computing model where CPUs and GPUs work together to accelerate the detection and decoding steps; this design comes to exploit the features of the GPU NVIDIA Kepler architecture respect to the previous one in order to optimize the communication system performance. es_ES
dc.description.sponsorship This work has been partially funded by PROMETEO/2009/013 project of Generalitat Valenciana, projects TEC2009-13741 of the Ministerio Español de Ciencia e Innovación, TEC2012-38142-C04 of the Ministerio Español de Economía y Competitividad, and PAID-05-2011 of Universitat Politècnica de València.
dc.language Inglés es_ES
dc.relation GV/PROMETEO/2009/013 es_ES
dc.relation MICINN/TEC2009-13741 es_ES
dc.relation MINECO/TEC2012-38142-C04 es_ES
dc.relation UPV/PAID-05-2011 es_ES
dc.relation.ispartof Waves es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject MIMO es_ES
dc.subject ID-BICM es_ES
dc.subject Multi-core/ Many-core es_ES
dc.subject LDPC es_ES
dc.subject Turbo Decoding es_ES
dc.subject.classification CIENCIAS DE LA COMPUTACION E INTELIGENCIA ARTIFICIAL es_ES
dc.subject.classification INGENIERIA TELEMATICA es_ES
dc.subject.classification TEORIA DE LA SEÑAL Y COMUNICACIONES es_ES
dc.title Parallel Implementation Strategies for MIMO ID-BICM Systems es_ES
dc.type Artículo es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació es_ES
dc.description.bibliographicCitation Simarro Haro, MDLA.; Ramiro Sánchez, C.; Martínez Zaldívar, FJ.; Vidal Maciá, AM.; González Téllez, A.; Piñero Sipán, MG.; García Mollá, VM. (2013). Parallel Implementation Strategies for MIMO ID-BICM Systems. Waves. 5-13. http://hdl.handle.net/10251/57906 es_ES
dc.description.accrualMethod Senia es_ES
dc.relation.publisherversion http://www.iteam.upv.es/waves.php es_ES
dc.description.upvformatpinicio 5 es_ES
dc.description.upvformatpfin 13 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.relation.senia 282300 es_ES
dc.contributor.funder Generalitat Valenciana
dc.contributor.funder Ministerio de Ciencia e Innovación
dc.contributor.funder Ministerio de Economía y Competitividad
dc.contributor.funder Universitat Politècnica de València


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