Future mode of operations for 5G – The SELFNET approach enabled by SDN/NFV
| Autor: | Ricardo Maia, Pedro Neves, Maria João Barros, Giacomo Bernini, ngel Valdivieso, Qi Wang, Rui Cal, Luis Javier Garca Villalba, James Nightingale, Ricardo Preto, Jos Santos, Gino Carrozzo, Anastasius Gravas, Gonalo Gaspar, Mrio Costa, Jose M. Alcaraz-Calero |
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| Rok vydání: | 2017 |
| Předmět: |
Process management
Computer science business.industry 020206 networking & telecommunications Cloud computing Self-organizing network 02 engineering and technology Network management application Network management Hardware and Architecture 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Performance indicator business Operating expense Software-defined networking Law Software Network management station Computer network |
| Zdroj: | Computer Standards & Interfaces |
| ISSN: | 0920-5489 |
| DOI: | 10.1016/j.csi.2016.12.008 |
| Popis: | The 5G infrastructure initiative in Europe115G Infrastructure Public Private Partnership, [Online]. Available here: https://5g-ppp.eu/ has agreed a number of challenging key performance indicators (KPIs) to significantly enhance the user experience and support a number of use cases with very demanding requirements on the network infrastructure. At the same time there is high pressure on the reduction of the operational expenditure (OPEX). A contribution to meeting the KPIs and to reduce OPEX is to evolve the management of the network into a fully autonomic and intelligent framework. Based on advanced technologies, such as Software-Defined Networking (SDN) and Network Function Virtualization (NFV), the EU H2020 project SELFNET (https://selfnet-5g.eu/) is proposing an advanced network management framework to achieve these objectives. Autonomic network management framework to achieve self-organizing capabilities.Machine-based, human-assisted network management paradigm.Leverage on NFV, SDN, SON and Cloud Computing standards & interfaces. |
| Databáze: | OpenAIRE |
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