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Parallel SUMIS Soft Detector for Large MIMO Systems on Multicore and GPU

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Parallel SUMIS Soft Detector for Large MIMO Systems on Multicore and GPU

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dc.contributor.author Ramiro Sánchez, Carla es_ES
dc.contributor.author Simarro, M. Angeles es_ES
dc.contributor.author Gonzalez, Alberto es_ES
dc.contributor.author Vidal Maciá, Antonio Manuel es_ES
dc.date.accessioned 2020-07-17T03:32:12Z
dc.date.available 2020-07-17T03:32:12Z
dc.date.issued 2019-03 es_ES
dc.identifier.issn 0920-8542 es_ES
dc.identifier.uri http://hdl.handle.net/10251/148186
dc.description.abstract [EN] The number of transmit and receiver antennas is an important factor that affects the performance and complexity of a MIMO system. A MIMO system with very large number of antennas is a promising candidate technology for next generations of wireless systems. However, the vast majority of the methods proposed for conventional MIMO system are not suitable for large dimensions. In this context, the use of high-performance computing systems, such us multicore CPUs and graphics processing units has become attractive for efficient implementation of parallel signal processing algorithms with high computational requirements. In the present work, two practical parallel approaches of the Subspace Marginalization with Interference Suppression detector for large MIMO systems have been proposed. Both approaches have been evaluated and compared in terms of performance and complexity with other detectors for different system parameters. es_ES
dc.description.sponsorship This work has been partially supported by the Spanish MINECO Grant RACHEL TEC2013-47141-C4-4-R, the PROMETEO FASE II 2014/003 Project and FPU AP-2012/71274 es_ES
dc.language Inglés es_ES
dc.publisher Springer-Verlag es_ES
dc.relation.ispartof The Journal of Supercomputing es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Large MIMO systems es_ES
dc.subject SUMIS es_ES
dc.subject High-order constellation es_ES
dc.subject GPU es_ES
dc.subject Low-complexity detectio es_ES
dc.subject.classification TEORIA DE LA SEÑAL Y COMUNICACIONES es_ES
dc.subject.classification CIENCIAS DE LA COMPUTACION E INTELIGENCIA ARTIFICIAL es_ES
dc.title Parallel SUMIS Soft Detector for Large MIMO Systems on Multicore and GPU es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1007/s11227-018-2403-9 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//TEC2013-47141-C4-4-R/ES/TECNICAS DE ACCESO RADIO PARA REDES INALAMBRICAS HETEROGENEAS/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MECD//AP2012-1274/ES/AP2012-1274/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/GVA//PROMETEOII%2F2014%2F003/ES/Computación y comunicaciones de altas prestaciones y aplicaciones en ingeniería/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto Universitario de Telecomunicación y Aplicaciones Multimedia - Institut Universitari de Telecomunicacions i Aplicacions Multimèdia es_ES
dc.description.bibliographicCitation Ramiro Sánchez, C.; Simarro, MA.; Gonzalez, A.; Vidal Maciá, AM. (2019). Parallel SUMIS Soft Detector for Large MIMO Systems on Multicore and GPU. The Journal of Supercomputing. 75(3):1256-1267. https://doi.org/10.1007/s11227-018-2403-9 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1007/s11227-018-2403-9 es_ES
dc.description.upvformatpinicio 1256 es_ES
dc.description.upvformatpfin 1267 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 75 es_ES
dc.description.issue 3 es_ES
dc.relation.pasarela S\375315 es_ES
dc.contributor.funder Ministerio de Economía y Competitividad es_ES
dc.contributor.funder Generalitat Valenciana es_ES
dc.contributor.funder Ministerio de Educación, Cultura y Deporte es_ES
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