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A Low-Complexity Precoding Scheme for Downlink Massive MU-MIMO Systems with Low-Resolution DACs

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Abstract

In this paper, we investigate the problem of downlink precoding for the narrowband massive multi-user multiple-input multiple-output (MU-MIMO) system with low-resolution digital-to-analog converters (DACs). We introduce a low-complexity precoding scheme based on the alternating direction method of multipliers (ADMM) framework in this work. An efficient gradient descent (GD) algorithm with adaptive step-size determination mechanism (ASGD) is proposed to alleviate the computational complexity bottleneck of the inherent matrix inversion. Numerical results demonstrate that the ASGD precoder achieves an attractive trade-off between the performance and computational complexity compared with other counterparts.

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The data used in this paper will be available upon request.

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Funding

This work was supported by the National Natural Science Foundation of China under Grant 61871029.

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Author notes

  1. Caihong Gong, Zhenyu Zhang, Hua Li, and Xiyuan Wang have contributed equally to this work.

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    Contributions

    All authors contributed to the study conception and design. Method design, simulation experiment and data analysis were performed by Yuanyuan Dong and Xiaoming Dai. The first draft of the manuscript was written by Yuanyuan Dong and all authors polished and commented on previous versions of the manuscript. All authors read and approved the final manuscript.

    Corresponding author

    Correspondence to Xiaoming Dai.

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    There is no conflict of interest to declare in this study.

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    The code will be available after obtaining permission from the University of Science and Technology Beijing.

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    Dong, Y., Gong, C., Zhang, Z. et al. A Low-Complexity Precoding Scheme for Downlink Massive MU-MIMO Systems with Low-Resolution DACs. Wireless Pers Commun 125, 3627–3640 (2022). https://doi.org/10.1007/s11277-022-09727-6

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    • DOI: https://doi.org/10.1007/s11277-022-09727-6

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