Deep Learning Assisted User Identification in Massive Machine-Type Communications

@article{Liu2019DeepLA,
  title={Deep Learning Assisted User Identification in Massive Machine-Type Communications},
  author={Bryan Liu and Zhiqiang Wei and Jinhong Yuan and Milutin Pajovic},
  journal={2019 IEEE Global Communications Conference (GLOBECOM)},
  year={2019},
  pages={1-6}
}
  • Bryan Liu, Zhiqiang Wei, +1 author Milutin Pajovic
  • Published in
    IEEE Global Communications…
    2019
  • Mathematics, Computer Science, Engineering
  • In this paper, we propose a deep learning aided list approximate message passing (AMP) algorithm to further improve the user identification performance in massive machine type communications. A neural network is employed to identify a \emph{suspicious device} which is most likely to be falsely alarmed during the first round of the AMP algorithm. The neural network returns the false alarm likelihood and it is expected to learn the unknown features of the false alarm event and the implicit… CONTINUE READING

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