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A Joint Approach for Low-Complexity Channel Estimation in 5G Massive MIMO Systems

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A Joint Approach for Low-Complexity Channel Estimation in 5G Massive MIMO Systems

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Bangash, K.; Khan, I.; Lloret, J.; León Fernández, A. (2018). A Joint Approach for Low-Complexity Channel Estimation in 5G Massive MIMO Systems. Electronics. 7(10). https://doi.org/10.3390/electronics7100218

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/142677

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Title: A Joint Approach for Low-Complexity Channel Estimation in 5G Massive MIMO Systems
Author: Bangash, kifayatullah Khan, Imran Lloret, Jaime León Fernández, Antonio
UPV Unit: Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions
Issued date:
Abstract:
[EN] Traditional Minimum Mean Square Error (MMSE) detection is widely used in wireless communications, however, it introduces matrix inversion and has a higher computational complexity. For massive Multiple-input Multiple-output ...[+]
Subjects: Massive MIMO , Computational complexity , Channel estimation , Low-rank matrix completion , Singular Value Decomposition
Copyrigths: Reconocimiento (by)
Source:
Electronics. (eissn: 2079-9292 )
DOI: 10.3390/electronics7100218
Publisher:
MDPI AG
Publisher version: https://doi.org/10.3390/electronics7100218
Thanks:
This research was funded by Ministerio de Economia, Industria y Competitividad, Gobierno de Espana grant number BIA2017-87573-C2-2-P.
Type: Artículo

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