المستودع الرقمي في جامعة الإخوة منتوري قسنطينة 1
Artificial Intelligence for KPI Prediction in LTE Networks: A Performance Analysis of GRU vs. SARIMA Models
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| dc.contributor.author | Cheikh, Khaireddine | |
| dc.contributor.author | Charaf Eddine, Boulemkahel ; Yousra, Zaouache | |
| dc.date.accessioned | 2025-03-18T11:11:22Z | |
| dc.date.available | 2025-03-18T11:11:22Z | |
| dc.date.issued | 25/10/2024 | |
| dc.identifier.uri | http://depot.umc.edu.dz/handle/123456789/14543 | |
| dc.description.abstract | This study addresses the forecasting of Key Performance Indicators (KPIs) in LTE net-works through a comparative analysis of advanced machine learning and statistical models, specifically the Gated Recurrent Unit (GRU) and Seasonal Auto-Regressive Integrated Moving Average (SARIMA) models. Using hourly data from a mobile network operator, the analysis identifies and leverages temporal and statistical patterns, including seasonality and trends, within the KPI dataset to enhance model training | fr_FR |
| dc.publisher | Université Frères Mentouri - Constantine 1 | |
| dc.title | Artificial Intelligence for KPI Prediction in LTE Networks: A Performance Analysis of GRU vs. SARIMA Models | fr_FR |
| dc.type | Article | fr_FR |
