2023
DOI: 10.1109/access.2023.3234566
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Machine Learning-Based Online Coverage Estimator (MLOE): Advancing Mobile Network Planning and Optimization

Abstract: Nowadays, the dependency on high-performance digital mobile connectivity is not limited to human usage but also the intelligent objects increasingly deployed to serve the needs of Internet of Things (IoT) applications. However, the current network planning technique limitation has constrained the real potential of mobile digital connectivity development. This situation has hindered sustainable Internet-oriented economic and technological development. The 3 rd generation partnership project (3GPP), through its … Show more

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Cited by 5 publications
(4 citation statements)
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“…In addition, in research specifically conducted to predict coverage on cellular telecommunications systems in 4G networks, presented in papers [8], [9] it is conveyed about the limitations of current network planning techniques that are still conventional in the development of mobile digital connectivity, which hinders the development of sustainable Internet-oriented economies and technologies. In this research, a comparison and evaluation of several machine learning algorithms is carried out in predicting coverage.…”
Section: Random Forestmentioning
confidence: 99%
See 3 more Smart Citations
“…In addition, in research specifically conducted to predict coverage on cellular telecommunications systems in 4G networks, presented in papers [8], [9] it is conveyed about the limitations of current network planning techniques that are still conventional in the development of mobile digital connectivity, which hinders the development of sustainable Internet-oriented economies and technologies. In this research, a comparison and evaluation of several machine learning algorithms is carried out in predicting coverage.…”
Section: Random Forestmentioning
confidence: 99%
“…Previous research has explored the use of machine learning algorithms for 5G coverage prediction, including deep learning algorithms, decision tree algorithms, and support vector machines [7]. And also, in research [8], [9] also discusses coverage prediction in 4G technology using machine learning algorithms. In paper [8], a supervised machine learning algorithm is presented using several parameter features.…”
Section: Introductionmentioning
confidence: 99%
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