This repository contains the implementations of the following paper:
M. H. Rahman and M. M. Mowla, "A Deep Neural Network Based Optimization Approach for Wireless Resource Management," 2020 IEEE Region 10 Symposium (TENSYMP), Dhaka, Bangladesh, 2020, pp. 803-806, doi: 10.1109/TENSYMP50017.2020.9230822.
Requirements:
1. Python 3.7
2. Tensorflow 1.x
3. Numpy
4. Scipy
First generate the data (.mat) using data-generator.py, then run main.py for training and testing.
For further visualization, you can use matplotlib.