dongbiao321/MCMBNN-for-CentAMC-and-DecentAMC

1.Simulation Details

This work is implemented in Keras, and the environment setting is:

tensorflow-gpu=1.10.0
keras=2.2.4
Python 3.6

2.Dataset

RadioML.2016.10A and RadioML.2016.10B

Dataset generated by Matlab is provided in Part-A

3.Reference

@ARTICLE{9844135,
  author={Dong, Biao and Liu, Yuchao and Gui, Guan and Fu, Xue and Dong, Heng and Adebisi, Bamidele and Gacanin, Haris and Sari, Hikmet},
  journal={IEEE Internet of Things Journal}, 
  title={A Lightweight Decentralized-Learning-Based Automatic Modulation Classification Method for Resource-Constrained Edge Devices}, 
  year={2022},
  volume={9},
  number={24},
  pages={24708-24720},
  doi={10.1109/JIOT.2022.3194508}}

4.Acknowledgement

Thanks Richardzhangxx and wzjialang for their great work.