Abstract
A simple matched-filter, which known as a promising precoder in a massive multiple-input multiple-output (MIMO) system, would not achieve the multi-user MIMO downlink capacity when base station equipped with finitely large number of antennas, due to multi-user interference. In this paper, a two-stage precoder design method has been proposed to maximize the sum-rate of cell-edge users when base station equipped with finitely large number of antennas. In the first stage, a matched-filter precoder is adopted to exploit both beamforming gain and the dimensional reduction of effective channels. Then, we derive the second stage precoder that maximizes the sum-rate by minimizing the weighted mean-squared-error. Simulation results and analysis verify the effectiveness of the proposed scheme. A modified transceiver design method is also presented which provides desired robustness in the presence of channel uncertainty.




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Notes
To avoid confusion when discussing large numbers of antennas, which can include an infinitely large number of antennas, we use the term finitely large number of antennas to represent less than fifty antennas. Note that the current commercial wireless communication standard [9] considers a maximum sixty-four antennas for massive MIMO systems.
According to simulation, when SNR = \(10\) [dB] which is in the mid SNR regime, both the proposed and conventional schemes are converged when \(N_{iter}=20\). For the consistency of comparison, we set \(N_{iter}=20\) for all SNR regime.
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Acknowledgments
This study has been supported by 2014 Korea Maritime and Ocean University (KMOU) research grants for the new faculties.
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Shin, J. Two-Stage Precoding Method for the Finitely Large-Scale Antenna Systems. Wireless Pers Commun 84, 2549–2559 (2015). https://doi.org/10.1007/s11277-015-2719-1
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DOI: https://doi.org/10.1007/s11277-015-2719-1