A Hybrid Path Loss Prediction Model based on Artificial Neural Networks using Empirical Models for LTE And LTE-A at 800 MHz and 2600 MHz

A Hybrid Path Loss Prediction Model based on Artificial Neural Networks using Empirical Models for LTE And LTE-A at 800 MHz and 2600 MHz

Abstract This article presents the analysis of a hybrid, error correction-based, neural network model to predict the path loss for suburban areas at 800 MHz and 2600 MHz, obtained by combining empirical propagation models, ECC-33, Ericsson 9999, Okumura Hata, and 3GPP's TR 36.942, with a feedfo...

Full description

Bibliographic Details
Main Authors: Bruno J. Cavalcanti, Gustavo A. Cavalcante, Laércio M. de Mendonça, Gabriel M. Cantanhede, Marcelo M.M. de Oliveira, Adaildo G. D’Assunção
Format: Article
Language:English
Published: Sociedade Brasileira de Microondas e Optoeletrônica; Sociedade Brasileira de Eletromagnetismo
Series:Journal of Microwaves, Optoelectronics and Electromagnetic Applications
Subjects:
Artificial Neural Networks - ANN
Long Term Evolution - LTE
Long Term Evolution Advanced - LTE-A
propagation models
path loss
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2179-10742017000300708&lng=en&tlng=en

Similar Items

Similar Items