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
Title:
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A Novel Codeword Selection Scheme for MIMO-MAC Lower-Bound Maximization
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Author:
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Shahjehan, Waleed
Shah, Syed Waqar
Lloret, Jaime
Bosch Roig, Ignacio
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UPV Unit:
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Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions
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Issued date:
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Abstract:
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[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 ...[+]
[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 rate loss by integrating the Bit Allocation algorithm. The target signal is decoded using the maximum signal to interference plus noise ratio (MAX-SINR) algorithm.
Moreover, low complexity and global searching mechanisms are deployed to select the optimized codewords from the generated sets of codewords that approach the ideal precoder. Simulation results show that the proposed algorithm effectively improves the rate lower-bound of the system user as compared with the existing state-of-the-art algorithms.
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Subjects:
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Interference Alignment
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Computational complexity
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MAX-SINR
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Codewords selection
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Spectral efficiency
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Copyrigths:
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Reconocimiento (by)
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Source:
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Entropy. (issn:
1099-4300
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DOI:
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10.3390/e20080546
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Publisher:
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MDPI AG
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Publisher version:
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http://doi.org/10.3390/e20080546
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Project ID:
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AEI/BIA2017-87573-C2-2-P-AR
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Thanks:
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This research was funded by Ministerio de Economia, Industria y Competitividad, Gobierno de Espana grant number BIA2017-87573-C2-2-P.
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Type:
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Artículo
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