Towards an SDN/NFV-based multi-tenant network and cloud testbed for end-to-end 5G services

Autor: Muñoz González, Raül, Mangues Bafalluy, Josep, Bartzoudis, Nikolaos, Vilalta Cañellas, Ricard, Martínez Rivera, Ricardo Victor, Casellas Regi, Ramon, Baldo, Nicola, Núñez Martínez, José, Requena Esteso, Manuel, Font Bach, Oriol, Payaró Llisterri, Miquel, Henarejos Hernández, Pol, Pérez Neira, Ana Isabel
Přispěvatelé: Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
Rok vydání: 2015
Předmět:
Zdroj: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
DOI: 10.5281/zenodo.398843
Popis: 5G has a main requirement of highly flexible, ultralow latency and ultra-high bandwidth virtualized infrastructure in order to deliver end-to-end services. This requirement can be met by efficiently integrating all network segments (radio access, aggregation and core) with heterogeneous wireless and optical technologies (5G, mmWave, LTE/LTE-A, Wi-Fi, Ethernet, MPLS, WDM, software-defined optical transmission, etc.), and massive computing and storage cloud services (offered in edge/core data centers, and even, distributed in network nodes). This paper introduces the preliminary architecture aiming at integrating three consolidated and standalone experimental in- frastructures at CTTC, in order to deploy the required end-to- end top-to-bottom converged infrastructure pointed out above for testing and developing advanced 5G services. The existing experimental facilities cover complementary technologies from terminals to radio access, aggregation/core and cloud, and are: the GEDOMIS R testbed (LTE/5G PHY testbed), the EXTREME Testbed R (wireless HetNet and backhaul, edge datacenter,a d distributed computing nodes), and the ADRENALINE Testbed R (packet aggregation and optical core network, core data-center). Two uses cases addressing Fixed Mobile Convergence (FMC) developed in ADRENALINE and EXTREME, and virtual mobile network function splitting and deployment, involving EXTREME and GEDOMIS, are also presented
Databáze: OpenAIRE