Mapping the VNFs and VLs of a RAN Slice Onto Intelligent PoPs in Beyond 5G Mobile Networks

  • The mapping of a virtual network service onto a physical network infrastructure is a challenging task due to the joint allocation of virtual resources across nodes and links, the diverse technical  requirements of end-users, the coordination between multiple host domains, and others. This issue is exacerbated further by the extension of virtualization to the next-generation radio access network (NG-RAN) architecture and the provisioning of radio access network (RAN) slicing. To that end, this article focuses on the mapping problem of the virtual network functions (VNFs), as well as their internal and external virtual  links (VLs), of a RAN slice subnet onto intelligent points of presence (I-PoPs) and transport networks  in the NG-RAN architecture. In this context, in contrast to the majority of the state-of-the-art proposals,  which frequently fail to achieve performance objectives and neglect resource allocation constraints, this  article introduces automation and intelligence at an architectural level to map VNFs and VLs onto their  corresponding physical nodes and links, with the goal of achieving superior efficiency in virtual resource  utilization while granting the performance of a RAN slice subnet. Benefiting from a top-down approach,  the key contributions of this article are: (i) to extend the architectural framework of network slicing towards  the NG-RAN architecture and provide a comprehensive overview and critical analysis of the components  and functionalities of a RAN slice subnet; (ii) to integrate the Experiential Network Intelligence (ENI)  framework into a joint architecture of the network functions virtualization–management and orchestration  (NFV–MANO), Third Generation Partnership Project-network slicing management system (3GPP-NSMS),  and I-PoPs in order to render automation and intelligence to the management and orchestration aspects  of a RAN slice subnet in the NG-RAN architecture; and (iii) to propose a learning-assisted architectural  solution for mapping the VNFs, as well as their internal and external VLs, of a RAN slice subnet onto  the underlying I-PoPs and transport networks.
Metadaten
Verfasser*innenangaben:Mohammad Asif HabibiORCiD, Faqir Zarrar YousafORCiD, Hans D. SchottenORCiD
URN:urn:nbn:de:hbz:386-kluedo-72219
ISSN:2644-125X
Titel des übergeordneten Werkes (Englisch):IEEE Open Journal of the Communications Society
Verlag:IEEE
Dokumentart:Wissenschaftlicher Artikel
Sprache der Veröffentlichung:Englisch
Datum der Veröffentlichung (online):18.04.2022
Jahr der Erstveröffentlichung:2022
Veröffentlichende Institution:Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau
Datum der Publikation (Server):27.03.2023
Freies Schlagwort / Tag:5G; Mobile Networks; Network Slicing
GND-Schlagwort:5G; Mobile Networks
Ausgabe / Heft:Vol. 3, April 2022
Seitenzahl:35
Quelle:10.1109/OJCOMS.2022.3165000
Fachbereiche / Organisatorische Einheiten:Kaiserslautern - Fachbereich Elektrotechnik und Informationstechnik
CCS-Klassifikation (Informatik):B. Hardware
C. Computer Systems Organization
DDC-Sachgruppen:0 Allgemeines, Informatik, Informationswissenschaft / 000 Allgemeines, Wissenschaft
Sammlungen:Open-Access-Publikationsfonds
Lizenz (Deutsch):Zweitveröffentlichung