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
Date Written: May 13, 2020
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
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