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dc.contributor.authorSuárez-Casal, Pedro
dc.contributor.authorGonzález-Coma, José P.
dc.contributor.authorFresnedo, Óscar
dc.contributor.authorCastedo, Luis
dc.date.accessioned2023-12-19T15:19:23Z
dc.date.available2023-12-19T15:19:23Z
dc.date.issued2018-12
dc.identifier.citationP. Suárez-Casal, J. P. González-Coma, Ó. Fresnedo and L. Castedo, "Design of Linear Precoders for Correlated Sources in MIMO Multiple Access Channels," in IEEE Transactions on Communications, vol. 66, no. 12, pp. 6110-6122, Dec. 2018, doi: 10.1109/TCOMM.2018.2863362.es_ES
dc.identifier.issn0090-6778
dc.identifier.urihttp://hdl.handle.net/2183/34552
dc.description© 2018 IEEE. This version of the article has been accepted for publication, after peer review. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The Version of Record is available online at: https://doi.org/10.1109/TCOMM.2018.2863362es_ES
dc.description.abstract[Abstract]: This paper focuses on distributed linear precoding when users transmit correlated information over a fading multiple-input and multiple-output multiple access channel. The precoders are optimized in order to minimize the sum-mean square error (MSE) between the source and the estimated symbols. When sources are correlated, minimizing the sum-MSE results in a non-convex optimization problem. The precoders for an arbitrary number of users and transmit and receive antennas are thus obtained via a projected steepest-descent algorithm and a low-complexity heuristic approach. For the more restrictive case of two single-antenna users, a closed-form expression for the minimum sum-MSE precoders is derived. Moreover, for the scenario with a single receive antenna and any number of users, a solution is obtained by means of a semi-definite relaxation. Finally, we also consider precoding schemes where the precoders are decomposed into complex scalars and unit norm vectors. Simulation results show a significant improvement when source correlation is exploited at precoding, especially for low signal-to-noise ratios and when the number of receive antennas is lower than the number of transmitting nodes.es_ES
dc.description.sponsorshipThis work has been funded by Office of Naval Research Global of United States (N62909-15-1-2014), the Xunta de Galicia (ED431C 2016-045, ED341D R2016/012, ED431G/01), the Agencia Estatal de Investigación of Spain (TEC2015-69648-REDC, TEC2016-75067-C4-1-R) and ERDF funds of the EU (AEI/FEDER, UE).es_ES
dc.description.sponsorshipUnited States. Office of Naval Research Global of United States; N62909-15-1-2014es_ES
dc.description.sponsorshipXunta de Galicia; ED431C 2016-045es_ES
dc.description.sponsorshipXunta de Galicia; ED341D R2016/012es_ES
dc.description.sponsorshipXunta de Galicia; ED431G/01es_ES
dc.language.isoenges_ES
dc.publisherInstitute of Electrical and Electronics Engineerses_ES
dc.relationinfo:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/TEC2015-69648-REDC/ES/RED COMONSENSes_ES
dc.relationinfo: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.isversionofhttps://doi.org/10.1109/TCOMM.2018.2863362.
dc.relation.urihttps://doi.org/10.1109/TCOMM.2018.2863362.es_ES
dc.rights©2018 IEEEes_ES
dc.rightsTodos os dereitos reservados. All rights reserved.es_ES
dc.subjectCorrelationes_ES
dc.subjectMultiuser channeles_ES
dc.subjectLinear approximationes_ES
dc.subjectOptimization methodses_ES
dc.subjectTransmitterses_ES
dc.titleDesign of Linear Precoders for Correlated Sources in MIMO Multiple Access Channelses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessinfo:eu-repo/semantics/openAccesses_ES
UDC.journalTitleIEEE Transactions on Communicationses_ES
UDC.volume66es_ES
UDC.issue12es_ES
UDC.startPage6110es_ES
UDC.endPage6122es_ES
dc.identifier.doi10.1109/TCOMM.2018.2863362


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