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A Novel Codeword Selection Scheme for MIMO-MAC Lower-Bound Maximization

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A Novel Codeword Selection Scheme for MIMO-MAC Lower-Bound Maximization

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Shahjehan, W.; Shah, SW.; Lloret, J.; Bosch Roig, I. (2018). A Novel Codeword Selection Scheme for MIMO-MAC Lower-Bound Maximization. Entropy. 20(8):1-19. doi:10.3390/e20080546

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/115855

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Title: A Novel Codeword Selection Scheme for MIMO-MAC Lower-Bound Maximization
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions
Issued date:
Abstract:
[EN] Aiming at the limitations of the existing Limited Feedback Interference Alignment algorithms, this paper proposes a direct codeword selection scheme that maximizes the lower-bound of the user rate and reduces the sum ...[+]
Subjects: Interference Alignment , Computational complexity , MAX-SINR , Codewords selection , Spectral efficiency
Copyrigths: Reconocimiento (by)
Source:
Entropy. (issn: 1099-4300 )
DOI: 10.3390/e20080546
Publisher:
MDPI AG
Publisher version: http://doi.org/10.3390/e20080546
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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