Corpus ID: 226965224

Deep Learning for Joint Channel Estimation and Feedback in Massive MIMO Systems

@article{Chen2020DeepLF,
  title={Deep Learning for Joint Channel Estimation and Feedback in Massive MIMO Systems},
  author={Tong Chen and Jiajia Guo and Chao-Kai Wen and Shi Jin and Geoffrey Y. Li and Xin Wang and Xiaolin Hou},
  journal={ArXiv},
  year={2020},
  volume={abs/2011.07242}
}
The great potentials of massive multiple-input multiple-output (MIMO) in frequency division duplex (FDD) mode can be fully exploited when the downlink channel state information (CSI) is available at base stations, which is difficult due to the large amount of feedback overhead caused by massive antennas. In this paper, we propose the deep learning based joint channel estimation and feedback framework, which comprehensively realizes the estimation, compression, and reconstruction of downlink… Expand
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