habiburrahman-mu / learn-swmmse-using-dnn Goto Github PK

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.