Learning-based Max-Min Fair Hybrid Precoding for mmWave Multicasting

@article{AbantoLeon2020LearningbasedMF,
  title={Learning-based Max-Min Fair Hybrid Precoding for mmWave Multicasting},
  author={Luis F. Abanto-Leon and Gek Hong Sim},
  journal={ICC 2020 - 2020 IEEE International Conference on Communications (ICC)},
  year={2020},
  pages={1-7}
}
  • L. F. Abanto-Leon, G. H. Sim
  • Published 3 February 2020
  • Computer Science
  • ICC 2020 - 2020 IEEE International Conference on Communications (ICC)
This paper investigates the joint design of hybrid transmit precoder and analog receive combiners for single-group multicasting in millimeter-wave systems. We propose LB-GDM, a low-complexity learning-based approach that leverages gradient descent with momentum and alternating optimization to design (i) the digital and analog constituents of a hybrid transmitter and (ii) the analog combiners of each receiver. In addition, we also extend our proposed approach to design fully-digital precoders… 

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