musicbeer / Deep-Learning-for-the-Physical-Layer

PyTorch implementation for part of paper "An Introduction to Deep Learning for the Physical Layer" by Kenta Iwasaki on behalf of Gram.AI.

Deep-Learning-for-the-Physical-Layer

PyTorch implementation for part of paper "An Introduction to Deep Learning for the Physical Layer" by Kenta Iwasaki on behalf of Gram.AI.

Requirement:: python3 pytorch

I re-implement two experiments in this paper:

singleuser.py simulates single user encoder-adding noise-decoder steps..

twouser.py simulates two user transmission..

Note:results sames to be different compared to figure in paper. be careful!!!!!

without aplha(alpha=0.5)

result of two user