Skip to content

Latest commit

 

History

History
17 lines (11 loc) · 809 Bytes

File metadata and controls

17 lines (11 loc) · 809 Bytes

cnn-for-wireless-resource-allocation

Convolutional Neural Network Based Optimization Approach for Wireless Resource Management

This repository contains the implementations of the following paper:

M. H. Rahman, M. M. Mowla, and S. Shanto "Convolutional Neural Network Based Optimization Approach for Wireless Resource Management," 2020 2nd International Conference on Advanced Information and Communication Technology (ICAICT), Dhaka, Bangladesh, 2020, pp. 280-285, doi: 10.1109/ICAICT51780.2020.9333532.

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.