@article{ART003055297},
author={Beom Kwon and Eonsu Noh},
title={Path Loss Prediction Using an Ensemble Learning Approach},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2024},
volume={29},
number={2},
pages={1-12},
doi={10.9708/jksci.2024.29.02.001}
TY - JOUR
AU - Beom Kwon
AU - Eonsu Noh
TI - Path Loss Prediction Using an Ensemble Learning Approach
JO - Journal of The Korea Society of Computer and Information
PY - 2024
VL - 29
IS - 2
PB - The Korean Society Of Computer And Information
SP - 1
EP - 12
SN - 1598-849X
AB - Predicting path loss is one of the important factors for wireless network design, such as selecting the installation location of base stations in cellular networks. In the past, path loss values were measured through numerous field tests to determine the optimal installation location of the base station, which has the disadvantage of taking a lot of time to measure. To solve this problem, in this study, we propose a path loss prediction method based on machine learning (ML). In particular, an ensemble learning approach is applied to improve the path loss prediction performance. Bootstrap dataset was utilized to obtain models with different hyperparameter configurations, and the final model was built by ensembling these models.
We evaluated and compared the performance of the proposed ensemble-based path loss prediction method with various ML-based methods using publicly available path loss datasets. The experimental results show that the proposed method outperforms the existing methods and can predict the path loss values accurately.
KW - Artificial intelligence;Cell planning;Ensemble learning;Machine learning;Path loss prediction;Regression problem
DO - 10.9708/jksci.2024.29.02.001
ER -
Beom Kwon and Eonsu Noh. (2024). Path Loss Prediction Using an Ensemble Learning Approach. Journal of The Korea Society of Computer and Information, 29(2), 1-12.
Beom Kwon and Eonsu Noh. 2024, "Path Loss Prediction Using an Ensemble Learning Approach", Journal of The Korea Society of Computer and Information, vol.29, no.2 pp.1-12. Available from: doi:10.9708/jksci.2024.29.02.001
Beom Kwon, Eonsu Noh "Path Loss Prediction Using an Ensemble Learning Approach" Journal of The Korea Society of Computer and Information 29.2 pp.1-12 (2024) : 1.
Beom Kwon, Eonsu Noh. Path Loss Prediction Using an Ensemble Learning Approach. 2024; 29(2), 1-12. Available from: doi:10.9708/jksci.2024.29.02.001
Beom Kwon and Eonsu Noh. "Path Loss Prediction Using an Ensemble Learning Approach" Journal of The Korea Society of Computer and Information 29, no.2 (2024) : 1-12.doi: 10.9708/jksci.2024.29.02.001
Beom Kwon; Eonsu Noh. Path Loss Prediction Using an Ensemble Learning Approach. Journal of The Korea Society of Computer and Information, 29(2), 1-12. doi: 10.9708/jksci.2024.29.02.001
Beom Kwon; Eonsu Noh. Path Loss Prediction Using an Ensemble Learning Approach. Journal of The Korea Society of Computer and Information. 2024; 29(2) 1-12. doi: 10.9708/jksci.2024.29.02.001
Beom Kwon, Eonsu Noh. Path Loss Prediction Using an Ensemble Learning Approach. 2024; 29(2), 1-12. Available from: doi:10.9708/jksci.2024.29.02.001
Beom Kwon and Eonsu Noh. "Path Loss Prediction Using an Ensemble Learning Approach" Journal of The Korea Society of Computer and Information 29, no.2 (2024) : 1-12.doi: 10.9708/jksci.2024.29.02.001
