publication . Conference object . Article . 2020

A QoE-oriented Cognition-based Management System for 5G Slices: The SliceNet Approach

Pagès, Albert; Agraz, Fernando; Spadaro, Salvatore; Montero, Rafael; Vasilakos, Xenofon; Ferdosian, Nasim; Nikaein, Navid; Lorenz, Dean; Nagin, Kenneth; Mechteri, Marouane; ...
Open Access
  • Published: 06 Apr 2020
Abstract
Provisioning of network slices with appropriate Quality of Experience (QoE) guarantees is one of the key enablers for 5G networks. However, it poses several challenges in the slice management that need to be addressed to achieve an efficient end-to-end (E2E) services delivery. These challenges, among others, include the estimation of QoE Key Performance Indicators (KPIs) from monitored metrics and the corresponding reconfiguration operations (actuations) in order to support and maintain the desired quality levels. In this context, SliceNet provides a design and an implementation of a cognitive slice management framework that leverages machine learning (ML) techn...
Subjects
free text keywords: 5G slices; network management; cognition; Quality of Experience (QoE), 5G slices; network management; cognition; Quality of Experience (QoE)
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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