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QoS-UARAPC

The source code entitled, "Deep Learning-Aided User Association and Power Control with Renewable Energy Sources". [Paper link(will be updated)]

Dependencies

  • Tensorflow 1.13.1
  • Python>=3
  • tqdm
  • scipy
  1. Clone Repository
  2. Install dependencies
pip install tqdm
conda install tensorflow-gpu==1.13.1
pip install scipy
  1. Run setup.py
python setup.py develop

Dataset & NN Model (test)

  1. You can download the dataset and NN model in the following link:

dataset: https://drive.google.com/file/d/1uZsHcxr3lrwpEnUTrBcav1kxCUZ97YEU/view?usp=sharing

model :https://drive.google.com/file/d/16y1QVesBemEWRj4k_FRGpIrpxS7MKstB/view?usp=sharing

  1. Data location: ./DATA/
  2. Model location: ./Models/BS4_UE40_Bh20
  3. Run the test code
python tools/DDPG_test.py

How to train the models?

  • Will be uploaded after software registration & pending patent
  • See here

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