Proposition for Path Loss Prediction Models with the Inclusion of Altitude Parameter and Optimization Through Evolutionary Algorithms

Abstract In this paper, it is presented a general optimization methodology for improving empirical models predicting Okumura-Hata, Cost-231, ECC-33, and Egli using Genetic and Differential Evolution Algorithms. The methodology was tested using georeferenced signal power samples from Uberlândia, Braz...

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Main Authors: Evandro M. Jorge Júnior, Antônio C. P. Veiga
Format: Article
Language:English
Published: Sociedade Brasileira de Microondas e Optoeletrônica; Sociedade Brasileira de Eletromagnetismo 2025-02-01
Series:Journal of Microwaves, Optoelectronics and Electromagnetic Applications
Subjects:
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2179-10742025000100201&lng=en&tlng=en
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author Evandro M. Jorge Júnior
Antônio C. P. Veiga
author_facet Evandro M. Jorge Júnior
Antônio C. P. Veiga
author_sort Evandro M. Jorge Júnior
collection DOAJ
description Abstract In this paper, it is presented a general optimization methodology for improving empirical models predicting Okumura-Hata, Cost-231, ECC-33, and Egli using Genetic and Differential Evolution Algorithms. The methodology was tested using georeferenced signal power samples from Uberlândia, Brazil, for a television channel operating at 569.142857 MHz. Each parameter of the model formulas was adjusted with a variable optimized by the algorithms. A significant innovation was the inclusion of an altitude parameter weighted by an optimized coefficient, which notably enhanced the prediction accuracy. The primary contribution of this work is the development of a set of analytical equations derived from the proposed methodology, eliminating the need for computational power to estimate path loss for the evaluated models in the area in question. The performance of these equations was assessed using the Mean Squared Error (MSE) metric, demonstrating improvements of up to 92.03% over standard models, contingent on the empirical model and optimization algorithm applied.
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institution Kabale University
issn 2179-1074
language English
publishDate 2025-02-01
publisher Sociedade Brasileira de Microondas e Optoeletrônica; Sociedade Brasileira de Eletromagnetismo
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series Journal of Microwaves, Optoelectronics and Electromagnetic Applications
spelling doaj-art-e400a6b514d74f7386bc7ea3529de5172025-02-04T07:40:57ZengSociedade Brasileira de Microondas e Optoeletrônica; Sociedade Brasileira de EletromagnetismoJournal of Microwaves, Optoelectronics and Electromagnetic Applications2179-10742025-02-0124110.1590/2179-10742025v24i1286888Proposition for Path Loss Prediction Models with the Inclusion of Altitude Parameter and Optimization Through Evolutionary AlgorithmsEvandro M. Jorge Júniorhttps://orcid.org/0000-0003-4307-4205Antônio C. P. Veigahttps://orcid.org/0000-0002-6818-012XAbstract In this paper, it is presented a general optimization methodology for improving empirical models predicting Okumura-Hata, Cost-231, ECC-33, and Egli using Genetic and Differential Evolution Algorithms. The methodology was tested using georeferenced signal power samples from Uberlândia, Brazil, for a television channel operating at 569.142857 MHz. Each parameter of the model formulas was adjusted with a variable optimized by the algorithms. A significant innovation was the inclusion of an altitude parameter weighted by an optimized coefficient, which notably enhanced the prediction accuracy. The primary contribution of this work is the development of a set of analytical equations derived from the proposed methodology, eliminating the need for computational power to estimate path loss for the evaluated models in the area in question. The performance of these equations was assessed using the Mean Squared Error (MSE) metric, demonstrating improvements of up to 92.03% over standard models, contingent on the empirical model and optimization algorithm applied.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2179-10742025000100201&lng=en&tlng=enDifferential EvolutionGenetic AlgorithmPath LossTelecommunication.
spellingShingle Evandro M. Jorge Júnior
Antônio C. P. Veiga
Proposition for Path Loss Prediction Models with the Inclusion of Altitude Parameter and Optimization Through Evolutionary Algorithms
Journal of Microwaves, Optoelectronics and Electromagnetic Applications
Differential Evolution
Genetic Algorithm
Path Loss
Telecommunication.
title Proposition for Path Loss Prediction Models with the Inclusion of Altitude Parameter and Optimization Through Evolutionary Algorithms
title_full Proposition for Path Loss Prediction Models with the Inclusion of Altitude Parameter and Optimization Through Evolutionary Algorithms
title_fullStr Proposition for Path Loss Prediction Models with the Inclusion of Altitude Parameter and Optimization Through Evolutionary Algorithms
title_full_unstemmed Proposition for Path Loss Prediction Models with the Inclusion of Altitude Parameter and Optimization Through Evolutionary Algorithms
title_short Proposition for Path Loss Prediction Models with the Inclusion of Altitude Parameter and Optimization Through Evolutionary Algorithms
title_sort proposition for path loss prediction models with the inclusion of altitude parameter and optimization through evolutionary algorithms
topic Differential Evolution
Genetic Algorithm
Path Loss
Telecommunication.
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2179-10742025000100201&lng=en&tlng=en
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