Adapting Side Information to Transmission Conditions in Precoding Systems

Simple item page
UDC.coleccionInvestigaciónes_ES
UDC.conferenceTitleInternational Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2017es_ES
UDC.departamentoEnxeñaría de Computadoreses_ES
UDC.grupoInvGrupo de Tecnoloxía Electrónica e Comunicacións (GTEC)es_ES
UDC.journalTitleBiomedical Applications Based on Natural and Artificial Computing: International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2017, Corunna, Spain, June 19-23, 2017, Proceedings, Part II (LNCS)es_ES
UDC.volume10338es_ES
dc.contributor.authorLabrador, Josmary
dc.contributor.authorCastro-Castro, Paula-María
dc.contributor.authorDapena, Adriana
dc.contributor.authorVázquez Araújo, Francisco Javier
dc.date.accessioned2024-11-06T09:13:08Z
dc.date.available2024-11-06T09:13:08Z
dc.date.issued2017-05-27
dc.descriptionThe conference was hold in A Coruña, Spain, June 19-23, 2017es_ES
dc.description.abstract[Abstract]: This work proposes an hybrid precoding method in a Multiple-Input/Multiple-Output Frequency Division Duplex (MIMO FDD) system with the objective of reducing the load associated to transmit side information needed to adapt precoding matrices in both the transmitter and the receiver. The type of precoding is determined at the transmitter by using a simple rule that takes into account a receive Signal–to–Noise Ratio (SNR) estimate. The receiver computes the magnitude of the channel level fluctuations and determines the time instants when long pilot sequences are needed to estimate the precoding matrices. Using a low cost feedback channel, the receiver indicates to the transmitter both the type of precoder and transmit frames to be used.es_ES
dc.description.sponsorshipThis work has been funded by the Galician Government under grants ED431C 2016-045 and ED341D R2016/012 as well as by the Spanish Government under grants TEC2013-47141-C4-1-R (RACHEL project) and TEC2016-75067-C4-1-R (CARMEN project).es_ES
dc.description.sponsorshipXunta de Galicia: ED431C 2016-045es_ES
dc.description.sponsorshipXunta de Galicia: ED341D R2016/012es_ES
dc.identifier.citationLabrador, J., Castro, P.M., Dapena, A., Vazquez-Araujo, F.J. (2017). Adapting Side Information to Transmission Conditions in Precoding Systems. In: Ferrández Vicente, J., Álvarez-Sánchez, J., de la Paz López, F., Toledo Moreo, J., Adeli, H. (eds) Biomedical Applications Based on Natural and Artificial Computing. IWINAC 2017. Lecture Notes in Computer Science, vol 10338. Springer, Cham. https://doi.org/10.1007/978-3-319-59773-7_32es_ES
dc.identifier.issn1611-3349
dc.identifier.issn0302-9743
dc.identifier.urihttp://hdl.handle.net/2183/39951
dc.language.isoenges_ES
dc.publisherSpringeres_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/TEC2013-47141-C4-1-R/ES/TECNICAS DE ACCESO RADIO PARA REDES INALAMBRICAS HETEROGENEASes_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/TEC2016-75067-C4-1-R/ES/CODIFICACIÓN Y PROCESADO DE SEÑALES PARA REDES EMERGENTES DE COMUNICACIÓN Y DE SENSORES INALÁMBRICASes_ES
dc.relation.urihttps://doi.org/10.1007/978-3-319-59773-7_32es_ES
dc.rights© 2017 Springer International Publishing AGes_ES
dc.rights.accessRightsopen accesses_ES
dc.subjectHybrid precodinges_ES
dc.subjectMIMO FDD systemses_ES
dc.subjectSignal-to-Noise Ratio (SNR)es_ES
dc.subjectFeedback channeles_ES
dc.titleAdapting Side Information to Transmission Conditions in Precoding Systemses_ES
dc.typeconference outputes_ES
dspace.entity.typePublication
relation.isAuthorOfPublication6d98941b-5537-49e3-84aa-16b84949f66d
relation.isAuthorOfPublication91c5c67f-2bb0-4420-92ec-457806e8cf96
relation.isAuthorOfPublication48992e38-2103-4f34-b0c2-c4e8fbd2a2e4
relation.isAuthorOfPublication.latestForDiscovery6d98941b-5537-49e3-84aa-16b84949f66d

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
Labrador_Jorsmary_2017_Adapting_Side_Information_Trans.pdf
Size:
696.36 KB
Format:
Adobe Portable Document Format
Description:
Accepted Version
Download

Collections

Investigación (FIC)