Model-Driven Deep Learning for Physical Layer Communications

@article{He2018ModelDrivenDL,
  title={Model-Driven Deep Learning for Physical Layer Communications},
  author={Hengtao He and Shi Jin and Chao-Kai Wen and Feifei Gao and Geoffrey Ye Li and Zongben Xu},
  journal={CoRR},
  year={2018},
  volume={abs/1809.06059}
}
Intelligent communication is gradually considered as the mainstream direction in future wireless communications. As a major branch of machine learning, deep learning (DL) has been applied in physical layer communications and has demonstrated an impressive performance improvement in recent years. However, most of the existing works related to DL focus on data-driven approaches, which consider the communication system as a black box and train it by using a huge volume of data. Training a network… CONTINUE READING

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