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Performance Evaluation of Channel Decoding With Deep Neural Networks

Paper about the deep neural network decoder.

Introduction

We propose three types of NND, which build upon multi-layer perceptron (MLP), convolution neural network (CNN) and recurrent neural network (RNN).

Steps of Code

  1. Generate the training samples saved at data/ under RNN/.
cd RNN/
python get_data.py
  1. Run the deep neural network, BER is saved at result/.
python mlp.py
python cnn.py
python lstm.py
  1. Plot the figure.
python plot.py

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