Deep Learning-Based CSI Feedback for Beamforming in Single- and Multi-Cell Massive MIMO Systems

@article{Guo2021DeepLC,
  title={Deep Learning-Based CSI Feedback for Beamforming in Single- and Multi-Cell Massive MIMO Systems},
  author={Jiajia Guo and Chao-Kai Wen and Shi Jin},
  journal={IEEE Journal on Selected Areas in Communications},
  year={2021},
  volume={39},
  pages={1872-1884}
}
The potentials of massive multiple-input multiple-output (MIMO) are all based on the available instantaneous channel state information (CSI) at the base station (BS). Therefore, the user in frequency-division duplexing (FDD) systems has to keep on feeding back the CSI to the BS, thereby occupying large uplink transmission resources. Recently, deep learning (DL) has achieved great success in the CSI feedback. However, the existing works just focus on improving the feedback accuracy and ignore… Expand
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