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

[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. This research was funded by Ministerio de Economia, Industria y Competitividad, Gobierno de Espana grant number BIA2017-87573-C2-2-P. 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