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

Authors :
Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions
Agencia Estatal de Investigación
Shahjehan, Waleed
Shah, Syed Waqar
Lloret, Jaime
Bosch Roig, Ignacio
Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions
Agencia Estatal de Investigación
Shahjehan, Waleed
Shah, Syed Waqar
Lloret, Jaime
Bosch Roig, Ignacio
Publication Year :
2018

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 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.

Details

Database :
OAIster
Notes :
TEXT, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1138452887
Document Type :
Electronic Resource