Skip to content

gomman/Deep-learning-aided-SCMA

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

7 Commits
 
 
 
 

Repository files navigation

Deep-learning-aided-SCMA

This is the simulation code for the paper from the authors of

"Deep learning-aided SCMA" IEEE COMMUNICATIONS LETTERS, VOL. 22, NO. 4, APRIL 2018

Minhoe Kim, Nam-I Kim, Woongsup Lee, Dong-Ho Cho https://ieeexplore.ieee.org/abstract/document/8254356/

Please add the citation of the paper if you have referenced from this code.

======= About the code =======

The purpose of sharing the code is not to provide the user-friendly simulator but to share the code implementations for research. Please understand that the code is not originally meant to share with others, so it is not documented well. There are many figures in the paper, so the hyper-parameters need to be tuned according to simulation environments.

In this code, we have used

Tensorflow v1.15 (if you have tensorflow v2.x, you need to disable tensorflow v2 and replace all the deprecated tfv1 functions to tfv2 functions Python 3.6 and above

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages