Demod-cnn: a robust deep learning approach for intelligent reflecting surface-assisted multiuser mimo communication

HIGHLIGHTS

• who: Mohammad Abrar Shakil Sejan and colleagues from the Department of Information and Engineering, Sejong University, Seoul, Korea have published the paper: Demod-CNN: A Robust Deep Learning Approach for Intelligent Reflecting Surface-Assisted Multiuser MIMO Communication, in the Journal: Sensors 2022, 22, 5971. of /2022/
• what: The authors propose a convolutional neural network (CNN)-based demodulation technique called in IRS-based wireless for multiple users. Motivated from above, in this paper the authors propose a CNN-based ML architecture to improve the BER and SER performance of the MIMO-based IRS system. The model . . .
  

   

  

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