Authors: Sangwoo Park, Osvaldo Simeone, Joonhyuk Kang
Conference: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2020
Abstract: We propose coherent AI-based end-to-end communication system via meta-learning under available channel model. With few trainings on new channel, proposed meta-learning based autoencoder finds coherent solution with reduced training complexity.
![Meta-learning to communicate: Fast end-to-end training for fading channels 1 강주혁교수님2](/wp-content/uploads/drupal/강주혁교수님2.png)
Fig. 2: Block error rate over iteration number for training on the new channel (4bits, 4complex channel uses, Rayleigh block fading channel model with 3taps, 16messages per iteration).