Artificial Neural Network (ANN) Pathloss Prediction Model for LTE Network for Microcells in an Urban Environment

One of the challenges faced by telecommunication service providers is capacity. The capacity of a cell depends on the model used in planning the cell during deployment stage. This paper presents Artificial Neural Network (ANN) Pathloss Prediction model for Long Term Evolution (LTE) network for micro...

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Bibliographic Details
Published in:	Arid Zone Journal of Engineering, Technology and Environment
Main Authors:	E. L. Omoze, J. O. Emagbetere
Format:	Article
Language:	English
Published:	University of Maiduguri 2022-12-01
Subjects:	pathloss artificial neural network (ann) received signal strength root mean square error (rmse) long term evolution (lte)
Online Access:	https://azojete.com.ng/index.php/azojete/article/view/670/392

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