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Channel Covariance Identification in FDD Massive MIMO Systems
dc.contributor.author | González-Coma, José P. | |
dc.contributor.author | Suárez-Casal, Pedro | |
dc.contributor.author | Castro-Castro, Paula-María | |
dc.contributor.author | Castedo, Luis | |
dc.contributor.author | Joham, Michael | |
dc.date.accessioned | 2023-12-11T16:00:07Z | |
dc.date.available | 2023-12-11T16:00:07Z | |
dc.date.issued | 2018-11 | |
dc.identifier.citation | J. P. Gonzalez-Coma, P. Suarez-Casal, P. M. Castro, L. Castedo and M. Joham, "CHANNEL COVARIANCE IDENTIFICATION IN FDD MASSIVE MIMO SYSTEMS," 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP), Anaheim, CA, USA, 2018, pp. 171-175, doi: 10.1109/GlobalSIP.2018.8646448. | es_ES |
dc.identifier.isbn | 978-1-7281-1295-4 | |
dc.identifier.uri | http://hdl.handle.net/2183/34443 | |
dc.description | © 2018 IEEE. This version of the paper has been accepted for publication. 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 final published paper is available online at: https://doi.org/10.1109/GlobalSIP.2018.8646448 | es_ES |
dc.description.abstract | [Abstract]: Many channel estimation methods in Massive MIMO FDD systems usually rely on the knowledge of the channel covariance matrix to operate. However, in real scenarios, this covariance is not known beforehand, and hence it should also be estimated. In this work, we investigate different existing techniques for covariance identification to achieve full knowledge of this matrix with very short training sequences. Moreover, we propose a modification of the spatial smoothing approach with the goal of improving the quality of the channel covariance identification. | es_ES |
dc.description.sponsorship | This work has been funded by Xunta de Galicia (ED431C 2016-045, ED341D R2016/012, ED431G/01), AEI of Spain (TEC2015-69648-REDC, TEC2016-75067-C4-1-R), and ERDF funds (AEI/FEDER, EU). | es_ES |
dc.description.sponsorship | Xunta de Galicia; ED431C 2016-045 | es_ES |
dc.description.sponsorship | Xunta de Galicia; ED341D R2016/012 | es_ES |
dc.description.sponsorship | Xunta de Galicia; ED431G/01 | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | IEEE | es_ES |
dc.relation | info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/TEC2015-69648-REDC/ES/RED COMONSENS | es_ES |
dc.relation | info: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 INALÁMBRICAS | es_ES |
dc.relation.isversionof | https://doi.org/10.1109/GlobalSIP.2018.8646448 | |
dc.relation.uri | https://doi.org/10.1109/GlobalSIP.2018.8646448 | es_ES |
dc.rights | Todos os dereitos reservados. All rights reserved. | es_ES |
dc.subject | Covariance identification | es_ES |
dc.subject | Massive MIMO | es_ES |
dc.subject | FDD | es_ES |
dc.subject | MUSIC | es_ES |
dc.title | Channel Covariance Identification in FDD Massive MIMO Systems | es_ES |
dc.type | info:eu-repo/semantics/conferenceObject | es_ES |
dc.type | info:eu-repo/semantics/conferenceObject | es_ES |
dc.rights.access | info:eu-repo/semantics/openAccess | es_ES |
UDC.startPage | 171 | es_ES |
UDC.endPage | 175 | es_ES |
dc.identifier.doi | 10.1109/GlobalSIP.2018.8646448 | |
UDC.conferenceTitle | 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP) | es_ES |