Contribution to the development of a hypervisor in a virtualized mobile communication network
Software Defined Networking (SDN) and Network Function Virtualization (NFV) are two promising technologies that together provide a more efficient utilization of the network resources and a reduction of operational costs. SDN and NFV enable the Radio Access Network (RAN) slicing, in which the radio r...
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| Tipo de recurso: | tesis de maestría |
| Fecha de publicación: | 2017 |
| 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:2117/109282 |
| Acceso en línea: | https://hdl.handle.net/2117/109282 |
| Access Level: | acceso abierto |
| Palabra clave: | Global system for mobile communications Wireless sensor networks SDN NFV 5G-EmPOWER ADRR hypervisor RAN Slicing Python Sistema global per a comunicacions mòbils Comunicacions sense fils, Sistemes de Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Comunicacions mòbils |
| Sumario: | Software Defined Networking (SDN) and Network Function Virtualization (NFV) are two promising technologies that together provide a more efficient utilization of the network resources and a reduction of operational costs. SDN and NFV enable the Radio Access Network (RAN) slicing, in which the radio resources are shared, which can be controlled through a hypervisor. In this thesis, a virtualized RAN Slicing simulator (ViRANsim) programmed in Python and based on the 5G-EmPOWER, has been designed, implemented and tested to validate and foresee the performance of two novel algorithms before applying them in a real environment: the Air-Time Deficit Round Robin (ADRR) algorithm, which is a time variant scheduling mechanism and will be used by the hypervisor, and the weight compensation algorithm, which is placed in the network controller and pretends to maximize the Access Points (APs) resource usage in order to satisfy the traffic demand fluctuations in the short-term, while at the same moment assuring the Service Level Agreement (SLA) of the different tenants in the long ? term perspective. Through this thesis, the performance of these algorithms has been studied, providing different analysis based on simulation results. |
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