A Genetically Trained Neural Network for Prediction of Path Loss in Outdoor Microcell

International Journal of Advanced Research in Engineering and Technology (IJARET), 11(4), pp. 346-351, 2020

6 Pages Posted: 8 Jun 2020

See all articles by Sandhya Pattanayak

Sandhya Pattanayak

ECE Department, Narula Institute of Technology, Kolkata, India

Date Written: May 13, 2020

Abstract

The various mobile communication networks requires the prediction of wave propagation related parameters to predict the path-loss in the particular region of the network. In this paper AI is applied to predict the path-loss in metropolitan and suburban area. We use genetically trained neural networks to predict the path loss in small-cell network configurations especially micro-cells and pico-cell. This will help proper cellular system design and better services. In this paper the path loss in outdoor micro-cell environment of suburban areas and metropolitan centers is determine by the Genetically trained Neural Networks.

Keywords: GA, ANN, Path-loss

Suggested Citation

Pattanayak, Sandhya, A Genetically Trained Neural Network for Prediction of Path Loss in Outdoor Microcell (May 13, 2020). International Journal of Advanced Research in Engineering and Technology (IJARET), 11(4), pp. 346-351, 2020, Available at SSRN: https://ssrn.com/abstract=3599786

Sandhya Pattanayak (Contact Author)

ECE Department, Narula Institute of Technology, Kolkata, India ( email )

81, Nilgunj Road
Agarpara
Kolkata, West Bengal 700 109
India

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
24
Abstract Views
110
PlumX Metrics