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This thesis presents a cellular network traffic forecasting model using LSTM-RNN to predict future peak hour traffic for Ethio Telecom in Jimma, Ethiopia. The model aims to assist mobile network operators in proactively managing Quality of Service (QoS) amidst increasing traffic demands. Performance evaluation shows low mean absolute percentage errors for voice, downlink, and uplink data traffic, indicating the model
- Author
- Zahir Jafer
- Language
- EN