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Channel Covariance Identification in FDD Massive MIMO Systems

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Gonzalez_Coma_Jose_2018_Channel_covariance_identification_in_FDD_Massive_MIMO_systems.pdf (191.3Kb)
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http://hdl.handle.net/2183/34443
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  • Investigación (FIC) [1728]
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Título
Channel Covariance Identification in FDD Massive MIMO Systems
Autor(es)
González-Coma, José P.
Suárez-Casal, Pedro
Castro-Castro, Paula-María
Castedo, Luis
Joham, Michael
Data
2018-11
Cita bibliográfica
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.
É version de
https://doi.org/10.1109/GlobalSIP.2018.8646448
Resumo
[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.
Palabras chave
Covariance identification
Massive MIMO
FDD
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Descrición
© 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
Versión do editor
https://doi.org/10.1109/GlobalSIP.2018.8646448
Dereitos
Todos os dereitos reservados. All rights reserved.
ISBN
978-1-7281-1295-4

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