5G traffic forecasting through the use of social networks in a realistic scenario
The research work to be done in the master thesis is grouped in two parts. In the first one a realistic 5G scenario will be defined by using real data from an already existing 4G network: site information (location, sectorization, etc.), UL/DL traffic information per cell during a time period of aro...
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| Tipo de recurso: | tesis de maestría |
| Fecha de publicación: | 2021 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/350042 |
| Acceso en línea: | https://hdl.handle.net/2117/350042 |
| Access Level: | acceso abierto |
| Palabra clave: | C-RAN NFV mobile networks social networks forecast crowds |
| Sumario: | The research work to be done in the master thesis is grouped in two parts. In the first one a realistic 5G scenario will be defined by using real data from an already existing 4G network: site information (location, sectorization, etc.), UL/DL traffic information per cell during a time period of around three months, and number of PRBs assigned/used per cell. With this data a C-RAN network with NFV and considering the use of slicing and MEC for specific services and locations, will be designed. The second part plans to use the large amount of data that can be extracted onlin |
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