6G原生AI无线网络与AI大模型6G（英）.pdf

该【6G原生AI无线网络与AI大模型6G（英） 】是由【蒙查查】上传分享，文档一共【20】页，该文档可以免费在线阅读，需要了解更多关于【6G原生AI无线网络与AI大模型6G（英） 】的内容，可以使用淘豆网的站内搜索功能，选择自己适合的文档，以下文字是截取该文章内的部分文字，如需要获得完整电子版，请下载此文档到您的设备，方便您编辑和打印。:..Outline1Drivingforcesof6GnativeAI26GnativeAIandkeyfeatures36GandAILargeModel2:..,&:"work"workforAI"3:..workmunicationtechnologyfacesbottlenecks,,orspectralcapacitykworkoperationppplexity,workCurrenttechnologyfallsshortofrfImprovedsceneadaptationmeeting6G'sneedsonetworkoperationandmaintenanceefficiencyrspeedDifficultyinestimatinglargerscalemMIMOchannelsaMorebalancedtrafficnschedulingDensebasestationdeploymentleadscworkingplexsystemdesignsleadtointerferenceavoidancecontradictoryincreasedenergyconsumptionMorerefinedbusinessplexroutinginheterogeneousidentificationworksuratefaultlocationmunicationscenariorequirementsarefragmented4:..,anywhere5GmunicationLowlatencyAIabilityserviceinference/trainingSupportmobileAI6Gputing+assuranceabilityabilityAIserviceperceptionabilitydataabilityAIsecurityandprivacyprotectionAImodelability5:..workandAIFulfilling6GandAIintegrationdemands,theuniversalityandefficiencyofexistingAIdesignmethodsdrivenbyscenariousecases,-raftingAIworknAddAIserversorAI-work,suchasNWDAFoptimizationusecasesNWDAFRANUEanalysisAIforChangingchannelAntennaweightNetworksconditionstuningNetworkManagementReducedswitchingUsermovementperformancepredictionProblem:It‘schallengingtoguaranteereal-time,effective,andProblem:AImodelshavelowgeneralization,pletingtheentireAIprocessinvolveshightrialanddevelopmentcycles,-partyAInCloudAIserviceprovidersprovidebest-effortAIservicesafteruserssubmitordersscenariosofVehiclesHigh-workintelligentfollowingServiceOrderTransmissionNetworksforReal-timemulti-agentAIsmartfactorycollaborationworkXR/VRpredictionUECloudAIServiceProviderProblem:workstrugglestorapidlydeployAIProblem:Dataisonlyuploadedtothecloud,makingitdifficulttowork,whichservicesfordiversescenarioscannotguaranteethequalityandsecurityofAIservices6:..6GNativeAIDesignPrinciplesToachieveubiquitousintelligence,workarchitecturerequires"fourtransformations"CloudCloudCloudAIprovidersmunicationQoSAIworkflow15GExternalAI6GNativeAIAIworkflow2CommunicationQoSTrafficanalysisTrafficanalysisAntennaadjustmentAntennaadjustmentMovementpredictionMovementpredictionputAInicationingDataAlgorithmFourelementscollaboration..........7:..Outline1Drivingforcesof6GnativeAI26GnativeAIandkeyfeatures36GandAILargeModel8:..workChallenge:ponentsofAI(data,puting)havegainedworkconnections,thedesignofthecorrespondingarchitecture,interfaces,:workdataandprovidesResourcelayer:dataservicesprovideunderlyingresourcesComputingplane:Networkfunctionlayer:putingandprovidesputingservicesnetworkservicecapabilitiesIntelligentplane:Applicationandservicelayer:providestheoperatingenvironmentprovidecorrespondingsupportforforfulllife-',newdataplane,smartplane,work,:..KeyFeature1:AIServiceQuality(QoAIS)TraditionalQoSsystemsprimarilyemphasizesessionandconnectionperformance,prehensivesupportfordiverserequirements;TheQoAISindicatorsystemincorporatessecurity,privacy,autonomy,&OrchestrationAITaskTaskQoSTaskManagementAlgorithmDataComputinConnectioResourceQoSgnTaskControlputing-networkbaseOTN/OXCOTN/OXCOTN/OXCAllopticalbaseworkInfrastructure:..KeyFeature2:municationmunicationisnecessarytomeetAI‘:ManagementPlane,ControlPlaneandUserPlaneControlPlane:ThreeModesofDeepConvergenceofManagementPlanemunicationMode1Mode2Mode3CoordinationFunctionalarrangementComputingrequirementsfor6GnativeAIxNBxNBQoSanalysisputingConvergedcontrolcontrolcontrolcontrolcontrolefficiencyLowenergyBCEBlatencyComputingTaskDataTransmission&ExecutionMeetthedifferentiatedTask1CEBCEBBUserPlaneCCBTask3collaborativedesignofBmunicationCSTask2CEBprotocolputingExecutionBearerputingConnectionBearerputingSession=B:..KeyFeature3:DataGenerationandReliableAIworkdigitaltwinstoachieveon-demanddatagenerationandreliableAIandverificationDatagenerationandNetworkDigitalTwinoptimizationPre-;;:DataAugmentationinGANs;NetworkAIAIDigitaltwinmodelingDigitaltwinRequirementsservicesrequirementsentityPrevalidationofAIExternaldemandAuto-generatedProcessedRequirementsforDataon-;,suchasworkperformance;CUAAUdecisionRadioDUphysicalVirtualizationwork:..Outline1Drivingforcesof6GnativeAI26GnativeAIandkeyfeatures36GandAILargeModel13:..TheConvergenceof6GandAILargeModelAsAIenterstheeraofgeneralintelligence,theemergenceofFoundationModelspromisesaprofoundtransformationintheintegrationof6GandAINetworkforAILargeAILargeModelforworkworkorprovideAILargeModelservicesservicesinaspectssuchasoperations,execution,andverificationDomainsRequirementsImpactonNetworksNetworkMulti-modalMachineSmallOperationsLearning,LanguageUnderstanding,TextGenerationNetworkNon-standardDataMediumMaintenanceGovernance,DataAlignment,NaturalLanguageUnderstanding,CodeGenerationNetworkNon-standardDataLargeRunningGovernance,ImageGeneration,VideoGeneration?ProviderichenvironmentaldataforAILargeModel?DetectingFailuresandGeneratingSolutions?Offerintent-basedservicestousers?OrchestratingandSchedulingTaskWorkflows?Achieveglobalcollaborativecontrolofintelligent?PlayingaVitalRoleintheValidationPhaseterminals14:..NetworksforAIL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