Graduate School and Research Center in Digital Sciences

Enable advanced QoS-aware network slicing in 5G networks for slice-based media use cases

Wang, Qi; Alcaraz-Calero, Jose; Ricart-Sanchez, Ruben; Barros Weiss, Maria; Gavras, Anastasius; Nikaein, Navid; Vasilakos, Xenofon, and co.

IEEE Transactions on Broadcasting, March 2019

Media use cases for emergency services require mission-critical levels of reliability for the delivery of media-rich services, such as video streaming. With the upcoming deployment of the fifth generation (5G) networks, a wide variety of applications and services with heterogeneous performance requirements are expected to be supported, and any migration of missioncritical services to 5G networks presents significant challenges in the quality of service (QoS), for emergency service operators. This paper presents a novel SliceNet framework, based on advanced and customizable network slicing to address some of the highlighted challenges in migrating eHealth telemedicine services to 5G networks. An overview of the framework outlines the technical approaches in beyond the state-of-the-art network slicing. Subsequently, this paper emphasizes the design and prototyping of a media-centric eHealth use case, focusing on a set of innovative enablers toward achieving end-to-end QoS-aware network slicing capabilities, required by this demanding use case. Experimental results empirically validate the prototyped enablers and demonstrate the applicability of the proposed framework in such media-rich use cases.

Document Doi Bibtex

Title:Enable advanced QoS-aware network slicing in 5G networks for slice-based media use cases
Keywords:5G, network slicing, quality of service, eHealth, media use case, verticals
Type:Journal
Language:English
City:
Date:
Department:Communication systems
Eurecom ref:5831
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Bibtex: @article{EURECOM+5831, doi = {http://dx.doi.org/10.1109/TBC.2019.2901402}, year = {2019}, month = {03}, title = {{E}nable advanced {Q}o{S}-aware network slicing in 5{G} networks for slice-based media use cases}, author = {{W}ang, {Q}i and {A}lcaraz-{C}alero, {J}ose and {R}icart-{S}anchez, {R}uben and {B}arros {W}eiss, {M}aria and {G}avras, {A}nastasius and {N}ikaein, {N}avid and {V}asilakos, {X}enofon, and co.}, journal = {{IEEE} {T}ransactions on {B}roadcasting, {M}arch 2019}, url = {http://www.eurecom.fr/publication/5831} }
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