A Math-Heuristic for Network Slice Design

Autor: Da Silva Coelho, Wesley, Benhamiche, Amal, Perrot, Nancy, Secci, Stefano
Přispěvatelé: Secci, Stefano, APPEL À PROJETS GÉNÉRIQUE 2018 - Gestion de slices dans le réseau d'accès mobile de la 5G - - MAESTRO5G2018 - ANR-18-CE25-0012 - AAPG2018 - VALID, CEDRIC. Réseaux et Objets Connectés (CEDRIC - ROC), Centre d'études et de recherche en informatique et communications (CEDRIC), Ecole Nationale Supérieure d'Informatique pour l'Industrie et l'Entreprise (ENSIIE)-Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Ecole Nationale Supérieure d'Informatique pour l'Industrie et l'Entreprise (ENSIIE)-Conservatoire National des Arts et Métiers [CNAM] (CNAM), Orange Labs, Orange Labs [Meylan], Orange Labs [Belfort] (Orange Labs), France Télécom, ANR-18-CE25-0012,MAESTRO5G,Gestion de slices dans le réseau d'accès mobile de la 5G(2018)
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: 2021 33th International Teletraffic Congress (ITC-33)
International Teletraffic Congress
International Teletraffic Congress, Aug 2021, Avignon, France
Popis: International audience; In this paper, we address the Network Slice Design problem, which arises from blueprinting end-to-end communication networks using fifth-generation (5G) radio access technology. With regard to new sharing policies and radio-access integration, it shows peculiar requirements with respect to conventional function placement and routing problems. To address the underlying optimization problem, we propose an open-access framework based on a math-heuristic that encompasses control-plane and data-plane separation and novel mapping and decomposition dimensions influencing the placement and interconnection of slices. Our framework also incorporates flexible functional splitting, with possibly different splitting for different slices while taking into consideration dependency factors such as varying network latency and data volume throughout the virtual access networks. Numerical results are then presented to assess the efficiency of our approach.
Databáze: OpenAIRE