# Deep-Learning-for-the-Physical-Layer

**Repository Path**: conquerzheng/Deep-Learning-for-the-Physical-Layer

## Basic Information

- **Project Name**: Deep-Learning-for-the-Physical-Layer
- **Description**: PyTorch implementation for part of paper "An Introduction to Deep Learning for the Physical Layer" by Kenta Iwasaki on behalf of Gram.AI.
- **Primary Language**: Python
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2019-03-27
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# 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!!!!! 
 
 ![Image text](https://github.com/musicbeer/Deep-Learning-for-the-Physical-Layer/raw/master/paper1.png)
  ![Image text](https://github.com/musicbeer/Deep-Learning-for-the-Physical-Layer/raw/master/paper3.png)
  
 ![Image text](https://github.com/musicbeer/Deep-Learning-for-the-Physical-Layer/raw/master/paper2.png)
   ![Image text](https://github.com/musicbeer/Deep-Learning-for-the-Physical-Layer/raw/master/paper4.png)
   
   
   
   without aplha(alpha=0.5)
   
   ![Image text](https://github.com/musicbeer/Deep-Learning-for-the-Physical-Layer/raw/master/paper5.png)
   ![Image text](https://github.com/musicbeer/Deep-Learning-for-the-Physical-Layer/raw/master/paper6.png)
     
   result of two user
     
     
   ![Image text](https://github.com/musicbeer/Deep-Learning-for-the-Physical-Layer/raw/master/paper7.png)