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Page 1: 5G Network Slice PoC Datasheet (December 11 2017) with ...€¦ · technologies e.g NB-IoT, LTE-M can partially answer this need. However, in Smart Insurance and infotainment (4K

December11th2017ETSINTECHAFIWG5GPoChttp://ntechwiki.etsi.org/

5GNetworkSlicePoCDatasheet(December11th2017) 5GNetworkSlicesCreation,Autonomic&CognitiveManagement&E2EOrchestration;withClosed-Loop(Autonomic)ServiceAssurancefortheIoT(SmartInsurance)UseCaseProblemStatementfromServiceProvidersperspectiveinDigitalEcosystemsspaceService Providers (SPs) need innovative technologies to address increasing customer expectations and newregulation requirements such as the EuropeanGDPR and regulations in force in other regions. Customer servicedemandsarebecomingmoreandmorechallenging.ThenewlydesiredServiceProvider’senvironment fordigitalservices design, creation and delivery (service fulfilment) to service consumers need to be smarter in theautomation of processes, in supportingmore autonomous on-demand service instantiation and consumption byserviceconsumers.Andinsupportingagilityandflexibility inenablingto instantiateanddelivertheservicesthatthe customer reallywants anytime anywhere. In this respect, a customer as a ServiceConsumer is to be given amoreactiverolebytheServiceProvidersinthedynamicservicedesignanddeliveryprocessesandmoregenerallyinthewholeServicelifecycle(DevOps/CI/CD).Inthisregard,SPsaredepartingfromthetraditionalrigidmodelbywhichServiceProvidersusedtohandleall theprocessessolelywithoutdelegationofsomeoftheprocessestoserviceconsumersdirectlyinsuchawayastoenablethemtoinstantiateserviceson-demandwherevertheyneedtheservices tobedeliveredbytheSP’sNetworksandServiceDeliveryPlatforms.HencetheCustomerbecomesakeyactorwithintheDigitalEcosystem.These new service delivery environments of the SP and new Digital Ecosystems are to interact and exchangepersonal information, and at the end, they will only prevail if Service Provider first and then the otherPartners/ActorsoftheDigitalServiceEcosystemrespectthecustomer’smostimportantasset,whichistheirdata.Thisisespeciallyimportantinthe“InsuranceBusiness”thatmanagesmainlypersonalinformation.ThisSmart Insurance/ IoTusecase isat theheartof thisETSINTECHAFIWG“5GNetworkSlicingPoC”.As it isexpected, Insurance is also evolving from the classical Insurance into a “Smart Insurance” with a connectedecosystems(IoT)thatprovidescompletesmartlifedigitalserviceswhichspansthe“ConnectedCar”,the“ConnectedHome”tothe“DigitalHealth”Servicesandother“Smart*”ServicesanddiverseIoTrelateddevices.TheKeyRequirementsthatbelongtotheProblemStatementthatunderpinstheETSINTECHAFIWG“5GNetworkSlicingPoC:

• In 5G, it is envisaged that SPswill offer to various types of network service consumers the flexibility toinstantiateandconsumenetworkserviceson-demandandwithagility,andamongsuchnetworkserviceswouldbe“NetworkSlice–as-a-Service”,andVerticalsprovidingIoTServicesDeliveryaresomeoftheSP’scustomers thatwill trigger thecreationofNetworkSlices in theSP’sEnd-to-Endenvironment—spanningAccessNetworks,x-Haul(FronthaulandBackhaul)andCoreNetworks. InsurancePlatformsareboundtobesomeoftheSPexternalsystemsthatwilltriggerthecreationofNetworkSlicesinanSPenvironmenton-demand,astheywouldbeanactorinserviceinstantiationprocesses.

• 5GNetworkSlicescanspanmultiplenetworksegmentsfromAccessNetworksthroughtox-HaulandCoreNetworks—therebycreatingthenotionofE2Econcatenatedslicesthatconsistofaccessnetworkslices(e.g.RAN slices), x-Haul slices and core network slices that form an Aggregate Network Slice that may berequiredbyaverticalmarketorientedstakeholderasserviceconsumerofanSP

• The Service Assurance for Network Slices should be achieved through Closed-Loop (Autonomic) ServiceAssuranceoftheE2EnetworkslicesbymeansofaFederationofAutonomicServiceAssuranceComponentsthatcollectivelyworktogetherinanE2EfashiontodeliverNetworkSlicesassuranceandadaptivenetworkresource programming across the network segments delivering the aggregate network slices, e.g. acrossAccess Networks, x-Haul (Fronthaul and Backhaul) and Core Networks. SON (Self-Organizing Network)functions for the 5G RANs should interwork with GANA components such as GANA Knowledge PlanecomponentstodeliverE2EAutonomicServiceAssuranceofNetworkSlicesforSelf-*featuresfornetworkslices,suchasSelf-OptimizationandSelf-HealingofNetworkSlices.

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December11th2017ETSINTECHAFIWG5GPoChttp://ntechwiki.etsi.org/

TheBenefitexpectedfromthe“SmartInsurance”UseCasebyServiceProvidersas5GNetworkSliceProvidersFromServiceProviderspointofview,the“SmartInsurance”marketisofhighinterestbecauseitisanopportunitytocreatehighvalueaddedservicesforSP’sexistingcustomers(ornewcustomers)andcantriggertechnicaldriverstoevolveanSP’infrastructurestowards5GarenainthewaythatcanbettermonetizetheSP’sassets—thankstothe“Slicing” concept, and this transformation is bound to open up new business models—highly profitable andrecurrent.The5GNetworkSlice“Factory”ServiceProvidersareabouttodeploy inthecomingyears, isexpectedtodelivernumerousNetworkSliceTypesasdescribedby3GPPsuchaseMBB(SST1),uRLLC(SST2),mIoT(SST3)andV2X(SST4)whicharethefirststandardizedones.Indeed,asstatedintheProblemstatement,intheIoTworld,exitingtechnologiese.gNB-IoT,LTE-Mcanpartiallyanswerthisneed.However,inSmartInsuranceandinfotainment(4K/8K,Augmentedand/MixedReality),AutonomousCars,SmartFactories,SmartBuilding/SmartHome,andothers,5G isexpected tomeet thoseeMBB, uRLLC, IoT,V2Xrelatedcharacteristics.TheabilityofServiceProviders (5GSliceProviders)todeliverthosefourkeySliceTypesandmoreinthefutureasenablersforsuchservicesorsotosay“5GSliceas-a-Service(5GSliceaaS)”intermsofverylargebandwidthandverylowlatency,willunlocksomeexistingapplicationstonewservicemodelsandpavethewayfordevelopmentofinnovativeapplicationswedon’timaginetodaybutwillemergeinthefuture.

BusinessviewofthePoC:SmartInsuranceUseCaseIt is about delivering Smart Insurance in complex digital environmentswhile protecting user privacy. Smart Insurancecreatesafullycustomer-orientedecosystem,centeredonaplatformthatconnectseverystakeholderintheinsurancebusiness–insurancecompanies,brokersandtheircustomers—inordertodigitize,secureandautomatealltransactions.Theecosystemcoversthecomplete ‘BusinesstoBusiness’(B2B)and ‘BusinesstoBusinesstoConsumer’(B2B2C)processmanagement,fromthestakeholdertothecustomer,includingcustomeronboarding,contractmanagement,claimshandlingandextendingasfarasconfidentialmedicalrecordsmanagement.The‘SmartInsurance’lifecycleisfurtherenhancedbyconnecteddevices,includingtheconnectedcar,whichallowsofferingflexiblecoverageperfectlyadaptedtoeverycustomer.

Creationofanend-to-endworkflowfromtheusertoallpartiesSmart Insuranceenablescreationofanecosystemspeciallybuilt for the insurancestakeholdersallowing theendcustomertocontractinsuranceservicesonlineandfollowthecompletelifecycleoftheirinsurancepolicythroughasecureplatform,whileallowinginteractionwithallPartiesoftheEcosystem.Enforcingend-userPrivacyinUsage-BasedInsurance(UBI)andorIoT-BasedInsuranceUsage-basedinsurancesaremigratingfrom“declarative”to“IoT-enabled”usageofaservice/good.Inthecontextofconnectedcars,PayAsYouDrive(PAYD)referstoaninsurancecalculateddynamicallyaccordingtothekilometersdriven.Inthenearfuture,environmentalsensorsinhousesandevenincitieswillhaveanimpactontariffs.Probably, the most sensitive usage of IoT in Insurance concerns health Insurance or mortgage Insurance: eventhough existing processes are simple, mandating a clear separation between commercial processes and health-relatedcommunicationisessential.Suchseparationmustbedrivenbyclearlydefinedrules,embeddedwithintheSmartInsuranceplatform.Witha“privacy-enabled”workflow,andprovidingsealingbetweenpartiesandtheirroles,end-to-endprivacycanbeenforced.

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SmartInsurance,privacyandthenewGeneralDataProtectionRegulationAfterfouryearsofwork,theEuropeanparliamenthasvotedthenewGeneralDataProtectionRegulation(GDPR),re-enforcing the principles of Privacy by Design, consent, the right to be forgotten and data portability. AllstakeholdersareobligedtoenforceGDPRin2018.Inthatcontext,the5GecosystemwecreatetosupportthePoCusecasesmustensurethelaw(GDPR)willbeapplicableinthePoCtimeframe.

DEMONSTRATIONUSECASESThisPoCillustratesthedynamiconboardingofnewPartiestoanexistingdigitalecosystemforInsurance.Itcanbegeneralized for any kind of digital ecosystem involving Parties with different roles and responsibilities, andconsequentlydifferentaccessrightstousers’data.Theusecasesdemonstratedare:- createanewpartyandonboardittoanexistingdigitalecosystemtobenefitfrom5Gcapabilities- manageaworkflowwithseparationofrolesanddataonlyexchangedbetweentherightlyauthorizedParties- manageCustomerExperience(SLAviolations,claimsandtroubletickets) inproactiveandpredictivemannerbytacking advantages fromAutonomic andCognitive ServiceAssurance Closed Control Loop(s) that implement theETSIGANAFrameworkin5GNetworkFourApplicationsareconsideredinthoseusecases.EachapplicationisorderingtherequiredNetworkSlicesviaanorderAPIinteractingwithNetworkSliceProvider’sBSS.ThetablebelowdepictsthemappingbetweenPoCtargetedApplicationstorequiredNetworkSliceTypes.

Application NetworkSliceTyperequired

ConnectedCar&Infotainment • eMBB(SST1)• uRLLC(SST2)• IoT(SST3)• V2X(SST4)

Car&HomeSecurity&Infotainment

• eMBB(SST1)• uRLLC(SST2)

Hayo(IoT)ConnectedHomeSecurity&Infotainment

• eMBB(SST1)• uRLLC(SST2)• IoT(SST3)

SmartBuildings&SmartHomes

• eMBB(SST1)• uRLLC(SST2)• IoT(SST3)

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TechnicalviewofthePoCThe plan is use this 5GNetwork Slicing PoC as an instrument for the following aims: (1) enabling the “TelecomOperators” toprovideaclearholisticpictureto“SolutionSuppliers”as tohowtheir5Gnetworkswould look likeandtherolestobeplayedbytheETSIGANAcomponentsforClosed-Loop(Autonomic)Management&ControlofnetworkresourcesandparametersinAutonomic(Closed-Loop)ServiceAssuranceofNetworkSlices,SDN,NFV,E2EOrchestrators,Big-DataAnalyticsforAutonomic/CognitiveManagement&Control,SON(Self-OrganizingNetworks),specialized interfaces (including thenetworkgovernance interfaces),networkautomation, andGANA intelligencesoftware for Autonomic/ Cognitive management and control of networks and services (i.e. Autonomic (Closed-Loop) Service Assurance); (2) Breaking from silos on standards and R&D efforts linked to the complementaryparadigms, by promoting and progressing the Unifying and Harmonizing Architecture that integrates the ETSIGANA,SDN,NFV,E2EOrchestration,andspecializedBigDataAnalytics forAutonomic/CognitiveManagement&Control; (3) Enabling “Solution Providers” of SON, SDN, NFV, GANA Knowledge Plane (with theAutonomics/AnalyticsAlgorithms,andKnowledgeSynthesisandRepresentationfromrawmonitoringdata,andthedynamicapplicationofvariousformsofKnowledgeobtainedfromdiversedata/informationsourcesbytheGANAKnowledge Plane’s Decision-making-Elements (DEs) in realizing the Self-Adaptation (e.g. Self-Optimization)managementandcontroloperationsforNetworkResourcesandParametersfortheoverallClosed-LoopAssuranceof Network Slices), Probing and Service Assurance Platforms that should act as data/information sources to theGANAKnowledgePlane’sDEs,DataAnalyticsrequiredtobeperformedorexploitedbyGANADEsinthenetworkinfrastructureNetworkElements(physicalorvirtual)andintheGANAKnowledgePlane,“NetworkInfrastructureSuppliers”,“RANelementscloudificationVendors”,andotherplayers,tousethePoCinstrumenttoidentifygapsinstandardsandinitiateactivities(e.g.inETSINTECHAFIWorkingGroup)toclosethegapsinstandards.The Figure below depicts high level design principle of the PoC ecosystem and associated actors / rolesrelationshipsandinteractions.Twomainactorsareconsidered:

• a)NetworkSliceProvider(SP)withitsassociatedpartners(5GRANVendor,5GCoreNetworkVendors,5GOSS&NetworkSliceManagementSoftwareVendors,GANAAlgorithmsandSoftwareComponentsDevelopers,5GBSSVendors,5GSONVendors …)whosecomponentsarerequiredbyanSPincreating,delivering,operatingandassuringfourNetworkSliceTypes:eMBB(SST1),uRLLC(SST2),IoT(SST3),V2X(SST4)

• b)NetworkSliceCustomerorNetworkSliceConsumerwhoorders/Self-OrdersviaadynamicOrdering API the required Network Slice Types according to dynamic SLAs per Network SliceTypebyinteractingwiththeNetworkSliceProvider’sBBS(NetworkSlicePortal)

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NetworkSliceLifeCycleManagement(choreography)1) SliceDesigner(HumanOperator),viatheGovernanceAPI,accessesits5GSliceDesign/ServiceDefinitionTool-

Chain(pinkbox)andstorestheNetworkSliceTemplateoncepopulated,inarepository2) NetworkSliceTemplateispushedtotheServiceOrchestrator3) ServiceOrchestrator interactswithETSIMANOcomponents, SDNController andLegacyOSS to translate the

contentoftheTemplateontorequiredVNFs/PNFs(RANonesandCoreNetworkones)whicharestoredintheVirtualized Capabilities Repository and in the Non-Virtualized Repository (for Core Network). The diagramshows a dedicatedRepository forRAN capabilities. All those capabilities are executedon the substrate layer(HybridInfrastructure:BlackCloud)

4) TheidentifiedVNFsandPNFsdescriptions(descriptors)aresenttoServiceOrchestrator5) ServiceOrchestratorlaunchesNetworkSliceLifeCycleManagementprocess6) The ordered Network Slices by the customers via Service Provider’s BSS (Yellow Box) are instantiated,

configuredanddeliveredtoeachofthefourCustomers(5Gapplications)attherighthandsideofthediagram.7) GANAKnowledgePlaneand “DistributedGANA” (Greenboxes)embedded in theVNFsandPNFsasAI/ML/

Cognitive algorithms along with Hybrid SON (Centralized and distributed: Blue Boxes) take care ofconfigurationoftheNEs(NetworkElements,i.e.PNFsandVNFs)intheinfrastructureifnotalreadyperformedthrough the traditional management systems, and then proceed to perform E2E federated Autonomic andCognitive“ServiceAssurance”ofeachNetworkSliceInstancetheCustomerisconsuming.

ETSI-GANAModelaskeyEnablerfor5G:highleveldesignprinciple

TheAFIWorkingGroupinETSI’sNTECHTechnicalCommittee(TC),asthe leadinggroupinthestandardizationlandscapeforAutonomic/CognitiveManagement&ControlofNetworksandServices,hasacomprehensiveworkprogrammewhichcomprisesdeliverableson:a referencemodel foraGenericAutonomicNetworkArchitecture(GANA); an implementation guide for the GANA reference model; and autonomics-enabled implementation-oriented architectures and their associated management and control architectures that are a result of GANAinstantiations onto various reference network architectures and their associated management and control

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architectures defined by standardization organizations such as 3GPP, BBF, IEEE, ITU-T and other StandardsDevelopingOrganizations(SDOs).http://www.etsi.org/images/files/ETSIWhitePapers/etsi_wp16_gana_Ed1_20161011.pdfIndeed, TCNTECHAFIWG hasmade significant progress in developing standards that prescribemethods andmechanisms for introducing “intelligence” in themanagement and control operations of networks and servicesand on how to operationalize GANA. Namely the application of the “Autonomics” paradigm, with the goal ofprescribing design and operational principles for self-managing and self-adaptive networks that enables toachieve OPEX reduction through Autonomic & Cognitive Fulfillment & Service Assurance.http://appledoreresearch.com/product/closed-loop-automation-new-role-assurance-research-note/Otherbenefits “Autonomics” brings toNetworkOperators such as creationof new revenue stream in5G arenawhereAutonomicsandspecificallyGANAcanbekeyEnabler:http://www.iwpc.org/workshops/2016/2016-06-DT/agenda.html

ETSINTECHAFI5GNetworkSlicingPoC(withAutonomicServiceAssuranceforSlices)and5GPoCslandscapeAfterthefirst5Grelatedstandardizationround(NGMN’s5GWhitePaper,E2E5GArchitecture,SCT),3GPP(R14,R15)efforts that tookoff, ITUeffortson5G that tookoff,and the initial5Groadmaps thatwere laidoutby thediverseplayersin5G,anaccelerationprocesswasundertakenin2017.MostofkeyMobileOperatorsarepushingthingsthiswaybyannouncingaggressiveroadmapsandseizingkeyevents(sport)tousethemas5Gplaygroundswhereall5Gplayerstrytodelivertheirbestproductsandsolutionsandtodemonstratethefirstbenefit5Gbringsandthehugepromisesandperspectivesonhow5Gwillcomplementnicely4G.Thisaccelerationwillpavethewayforthecommercialdeploymentof5G.From Testing & Trialing side, various initiatives have been launched and there is a need for harmonization interms ofmethodology, assessment approaches, interoperability, KPIs consolidation as a foundation to facilitatethismove.ThisisthereasonwhythisETSINTECH5GNetworkSlicingPoCaimsatcollaboratingandliaisingwithother5GPoCs initiativesbutnot limitedto initiativessuchasNGMN5G_TTI,TMForum“5GServiceOperations”Catalyst,andBroadBandForum(BBF)5GrelatedPoCsprograms.

GANAinaNutshellTC NTECH AFI WG works on standards for Autonomic Networking (which includes self-manageability andproperties within network nodes/functions and “in-network” self-management), Autonomic Management andControl (AMC) of networks and services by Autonomics introduced in the outer (logically centralized)Management and Control Planes of network architectures. The ETSI TC NTECH AFI “GANA” Reference Modelcombinesperspectivesontheseaspects,soastocapturetheholisticpictureofAutonomicNetworking,CognitiveNetworking and Self-Management design and operational principles. TC NTECH AFI WG performs GANAinstantiations ontoEvolving and FutureNetworkArchitectures and theirManagement&ControlArchitectures.Autonomics algorithms in the scope of NTECH AFIwork aremeant to be implemented by the so-called GANADecision-making-Elements (DEs), and such algorithms include Cognitive algorithms for Artificial Intelligence(AI)—suchasMachineLearning(ML)andDeepLearning(DL),andotheralgorithmsthatcanbeemployedinDEs’closed-loop operations. GANAModel helps to achieve Closed-Loop (Autonomic) Service Assurance through thecomplementary abstraction levels for introducing self-management functionality and Closed-Loops. Moreover,GANA is addressing OPEX challenges faced by Network and Service Providers by measuring the benefit ofAutonomics/Self-Managementfornetworksandservices.KeyTakeaways

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• Instrumentation of Network Elements (NEs) with collaborative, autonomic Decision-making-Elements

(DEs)• HierarchyofDEsin4basiclevelsofabstractionofself-managementfunctionality:protocol,function,node,

andnetworklevelsdefinedbytheGANAreferencemodel.MonitoringinformationorothertypeofknowledgeconcerningthestateofthenetworkresourcesandparametersisusedbyGANADEsatGANAlevels2,3and4,dependingontheDEalgorithm’sinputsrequirements.

• OveritsControl-Loop(s),aDEsendscommands,objectives,policiestoitslower-levelDEsandtherestofallitsManagedEntities(MEs)andreceivesfeedbackonthestateofoperationoftheManagedEntities(MEs),whichmaybethoseattheso-calledresourceslayerinGANA(asillustratedontheGANAsnapshotdiagrambelow).ProtocolLevelDEsrepresentprotocols,TCP/IPapplication-layerorOSIApplicationlayerservices,and other fundamental mechanisms running in the target nodes/network and considered as ManagedEntities (MEs) andexhibitingControl-Loops.However, someMEsatprotocol levelmayneedno intrinsicControl-Loops.

• GANA Knowledge Plane (KP) = Network Level DEs + distributed, scalable Overlay Network system ofinformation servers for Information eXchange (ONIX) + Model-Based-Translation Service (MBTS) fortranslatinginformationandcommands/responsestowards/fromNEs.

• Governance is implemented through the Network Governance Interface meant for the HumanAdministrator /Network Operator to provide input to the Autonomic Network through the GANAKnowledgePlane

• TheComplexityofCognitiveAlgorithmsforAI(e.g.MachineLearning,DeepLearning)decreasesfromGANAlevel4tolevel1asdepictedinthediagrambelow(purplerectangles)

• The Service Assurance for Network Slices should be achieved through Closed-Loop (Autonomic) ServiceAssuranceoftheE2ENetworkSlicesbymeansofaFederationofAutonomicServiceAssuranceComponentsthatcollectivelyworktogetherinanE2EfashiontodeliverNetworkSlicesAssuranceandadaptivenetworkresource programming across the network segments delivering the aggregateNetwork Slices, e.g. acrossAccess Networks, x-Haul (Fronthaul and Backhaul) and Core Networks. SON (Self-Organizing Network)functions for the 5G RANs should interwork with GANA components such as GANA Knowledge PlanecomponentstodeliverE2EAutonomicServiceAssuranceofNetworkSlicesforSelf-*featuresfornetworkslices,suchasSelf-OptimizationandSelf-HealingofNetworkSlices.

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NE (router, terminal, switch, gateway, base-station, etc.)

Knowledge Plane

Function-Level DE, e.g. QoS Management DE

Node_Main_DE

Hierarchy of Decision Elements

(DEs)

Managed Entities (MEs)(partitioned and assigned

to specific upper DEs)

Function-Level DE, e.g. QoS Management DE

Node_Main_DE

Managed Entities (MEs)(partitioned and assigned

to specific upper DEs)

ONIX MBTS

Vertical Reference

Point: NeMe

Horizontal Reference

Point

Managed Entities (MEs)/Resources: i.e. Protocols, Stacks & Mechanisms, and Application Layer Applications

Network Element (NE)-Physical or

Virtual

Protocol Level DEs (GANA Level-1)

Function Level DEs (GANA Level-2)

Node Level DEs (GANA Level-3)

Network Level DEs (GANA Level-4)

NE (router, host, switch, gateway, base-station, etc.)

Outer Control Loop

GANA Profile

Administrator/Network Operator

Network Governance

Interface

Other Network Level DEse.g. Network Level QoS Management DE

Network Level Fault Management DENetwork Level Routing Management DE

NoI

NoDe

FuDe

NoMe NoMe

NeMe

DeMe DeMeDeMe

The Complex Cognitive Algorithms for AI (e.g. Machine Learning (ML), Deep Learning (DL), ..)

Moderate Cognitive Algorithms for AI (e.g. Machine Learning (ML), Deep Learning(DL), ..)

Less Complex Cognitive Algorithms for AI

Zero to much much less complex Cognitive Algorithms for AI DeMe

PoCPartners

• Altran• AsocsNetworks• Cellwize• Huawei• Incelligent• IPv6Forum• NTT• Orange• QualyCloud• Verizon

Contact

ETSINTECH5GPoCwiki:http://ntechwiki.etsi.org/5GPoCLeaderandNTECHAFIWGChairman:TayebBenMeriem(Orange)[email protected]

December11th2017