Deep Learning for Massive MIMO CSI Feedback

@article{Wen2018DeepLF,
  title={Deep Learning for Massive MIMO CSI Feedback},
  author={Chao-Kai Wen and Wan-Ting Shih and Shi Jin},
  journal={IEEE Wireless Communications Letters},
  year={2018},
  volume={7},
  pages={748-751}
}
In frequency division duplex mode, the downlink channel state information (CSI) should be sent to the base station through feedback links so that the potential gains of a massive multiple-input multiple-output can be exhibited. However, such a transmission is hindered by excessive feedback overhead. In this letter, we use deep learning technology to develop CsiNet, a novel CSI sensing and recovery mechanism that learns to effectively use channel structure from training samples. CsiNet learns a… CONTINUE READING
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