OTIMIZAÇÃO DA DISPOSIÇÃO DE ESTAÇÕES BASE UTILIZANDO ALGORITMO DE EVOLUÇÃO DIFERENCIAL EM CENÁRIOS SIMULADOS DE REDES 5G

The adoption of 5G in the world is occurring intensively, indicating a need to implement more Base Stations to meet this demand. However, an inadequate arrangement of these Base Stations can lead to non-optimized throughput values. This paper presents an application of a Differential Evolution algorithm to determine a better arrangement of Base Stations in a simulated scenario of 5G networks using millimeter waves. The results show that it is possible to increase the average throughput by applying the proposed technique.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-02-05
DOI
https://doi.org/10.5281/zenodo.14812103
Primary Topic
Millimeter-Wave Propagation and Modeling
Type
article
Field-Weighted Citation Impact
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article

OTIMIZAÇÃO DA DISPOSIÇÃO DE ESTAÇÕES BASE UTILIZANDO ALGORITMO DE EVOLUÇÃO DIFERENCIAL EM CENÁRIOS SIMULADOS DE REDES 5G

Zenodo (CERN European Organization for Nuclear Research)
Millimeter-Wave Propagation and Modeling
article

OTIMIZAÇÃO DA DISPOSIÇÃO DE ESTAÇÕES BASE UTILIZANDO ALGORITMO DE EVOLUÇÃO DIFERENCIAL EM CENÁRIOS SIMULADOS DE REDES 5G

article en

Abstract

The adoption of 5G in the world is occurring intensively, indicating a need to implement more Base Stations to meet this demand. However, an inadequate arrangement of these Base Stations can lead to non-optimized throughput values. This paper presents an application of a Differential Evolution algorithm to determine a better arrangement of Base Stations in a simulated scenario of 5G networks using millimeter waves. The results show that it is possible to increase the average throughput by applying the proposed technique.

Zenodo (CERN European Organization for Nuclear Research)
Universidade Federal de Uberlândia (BR)
Industry, innovation and infrastructure
Openalex Percentile: Top 54%
Millimeter-Wave Propagation and Modeling
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