Root Cause Analysis of Insufficient Effective Throughput in 4G Core Network using Long Short-Term Memory Networks
| dc.contributor.advisor | Yihenew Wondie | |
| dc.contributor.author | Simon Getahun | |
| dc.date.accessioned | 2025-08-01T11:55:16Z | |
| dc.date.available | 2025-08-01T11:55:16Z | |
| dc.date.issued | 2025-06 | |
| dc.description.abstract | In the world of telecommunications today, the 4G Core Network (4G CN) is a critical enabler of higher speed data connectivity for mobile internet users. Unfortunately, many telecom operators continue to struggle with the persistent issue of Effective Throughput (ET), which decreases service quality and user experience. Inspired by these issues, this thesis investigates the causes of ET degradation in various flows within the 4G CN while emphasizing a shift toward higher degree of data-driven additional insight and the need to implement proactive network management strategies. To tackle the issue, a thesis on a Long Short-term Memory (LSTM) networks method, for time series classification of performance degradation patterns in 4G CN have been proposed. To improve model interpretability and transparency, apply SHapley Additive exPlanations (SHAP) to provide insights into the contribution of feature behaviour on our decisions, to the level of individual features. The methodology includes collecting real-world network performance data, training the LSTM model, and applying SHAP to characterize how each performance metric influenced behaviors contributing to throughput changes. The resulting LSTM model produces good predictive accuracy with a performance of 92.10% and a ROC AUC score of 97.90%, confirming its effectiveness for the task of identifying anomalies in ET. The SHAP analysis highlights that Client-Side Long RTT, Uplink TCP Out-of-Order Rate, and Network Packet behaviours were important contributors to IET behaviour. As a result, telecom operators can be empowered to dedicate increased effort on high priority performance indicators for targeted optimization. | |
| dc.identifier.uri | https://etd.aau.edu.et/handle/123456789/5888 | |
| dc.language.iso | en_US | |
| dc.publisher | Addis Ababa University | |
| dc.subject | 4G | |
| dc.subject | CN | |
| dc.subject | ET | |
| dc.subject | LSTM | |
| dc.subject | RCA | |
| dc.subject | SHAP | |
| dc.title | Root Cause Analysis of Insufficient Effective Throughput in 4G Core Network using Long Short-Term Memory Networks | |
| dc.type | Thesis |