Publicação
Forecasting techniques: application to cellular networks
| Resumo: | Due to the growing competitiveness and aggressiveness of the market, the network operators’ strategy is increasingly based on improving infrastructures and optimizing existing resources, in a way that provides the best experience to the user. To do this, the operator analyzes the Key Performance Indicators (KPIs) and uses forecasting methods to predict and plan the modifications needed in the network. With this as basis, this work focuses on the study and analysis of different forecasting methods and their implementation in Python, so that the operator can obtain automate real-time predictions of the future behavior of his network. |
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| Autores principais: | Carvalho, Bruno Miguel Machado |
| Assunto: | UMTS Architecture Forecasting Optimization KPIs Monitoring |
| Ano: | 2018 |
| País: | Portugal |
| Tipo de documento: | dissertação de mestrado |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Universidade de Aveiro |
| Idioma: | inglês |
| Origem: | RIA - Repositório Institucional da Universidade de Aveiro |
| Resumo: | Due to the growing competitiveness and aggressiveness of the market, the network operators’ strategy is increasingly based on improving infrastructures and optimizing existing resources, in a way that provides the best experience to the user. To do this, the operator analyzes the Key Performance Indicators (KPIs) and uses forecasting methods to predict and plan the modifications needed in the network. With this as basis, this work focuses on the study and analysis of different forecasting methods and their implementation in Python, so that the operator can obtain automate real-time predictions of the future behavior of his network. |
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