Pcqnet: a trainable feedback scheme of precoder for the uplink multi-user mimo systems

HIGHLIGHTS

  • who: Xiuwen Bao and collaborators from the National Mobile Communications Research Laboratory, Southeast University, Nanjing, China have published the research: PCQNet: A Trainable Feedback Scheme of Precoder for the Uplink Multi-User MIMO Systems, in the Journal: Entropy 2022, 24, 1066. of /2022/
  • what: The authors propose CNN-based compression network named to minimize the feedback overhead. Motivated by the convolutional neural_network (CNN)-based deep learning compression approaches of channel state information (CSI) , the authors propose a novel compression and quantization network architecture named PCQNet for the joint transceiver optimization. The authors focus on the . . .

     

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