publication . Conference object . Article . 2020

Self-Restoring Video User Experience in 5G Networks Based on a Cognitive Network Management Framework

Pablo Salva-Garcia; Jose M. Alcaraz-Calero; Qi Wang; Maria Barros; Anastasius Gavras;
Open Access English
  • Published: 06 Apr 2020
Abstract
Video applications such as streaming are expected to dominate the traffic of the incoming Fifth generation (5G) networks. It is essential for 5G service video providers and/or network operators to provide assurances for both the overall status of the network and the quality of their video transmissions in order to meet the final users’ expectations. In this contribution, we propose a video optimisation scheme which is implemented as a Virtualised Network Function (VNF), which in turn, facilitates its on-demand deployment in a flexible way in response to an intelligent analysis of the current network traffic conditions. We leverage a cognitive network management ...
Subjects
free text keywords: 5G; Artificial Intelligence; Video., 5G; Artificial Intelligence; Video.
Funded by
EC| SLICENET
Project
SLICENET
End-to-End Cognitive Network Slicing and Slice Management Framework in Virtualised Multi-Domain, Multi-Tenant 5G Networks
  • Funder: European Commission (EC)
  • Project Code: 761913
  • Funding stream: H2020 | RIA
Validated by funder
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Conference object . 2020
Provider: Datacite
Open Access
Zenodo
Conference object . 2020
Provider: Datacite
Open Access
ZENODO
Conference object . 2020
Provider: ZENODO
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