Model-Driven Deep Learning for Massive MU-MIMO with Finite-Alphabet Precoding

@article{He2020ModelDrivenDL,
  title={Model-Driven Deep Learning for Massive MU-MIMO with Finite-Alphabet Precoding},
  author={Hengtao He and Mengjiao Zhang and Shi Jin and Chao-Kai Wen and Geoffrey Ye Li},
  journal={ArXiv},
  year={2020},
  volume={abs/2006.15495}
}
  • Hengtao He, Mengjiao Zhang, +2 authors Geoffrey Ye Li
  • Published 2020
  • Computer Science, Engineering, Mathematics
  • ArXiv
  • Massive multiuser multiple-input multiple-output (MU-MIMO) has been the mainstream technology in fifthgeneration wireless systems. To reduce high hardware costs and power consumption in massive MU-MIMO, low-resolution digital-to-analog converters (DAC) for each antenna and radio frequency (RF) chain in downlink transmission is used, which brings challenges for precoding design. To circumvent these obstacles, we develop a model-driven deep learning (DL) network for massive MU-MIMO with finite… CONTINUE READING

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