2025年5G-A赋能信息消费“新三样”白皮书（英文版）-GTI

GTl5G-AIgnitestheThree-TypesofNewIntelligentServices

5G-AIgnitestheThree-TypesofNewIntelligentServices

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5GTechnologyandProductProgram

Sourcemembers

ChinaMobile,Huawei,LejuRobotics

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ZTE,Nokia,CICTMobile,DEEPRobotics,HONOR,Qualcomm,MTK,Fibocom,TDTech,ASR,Quectel,UNISOC

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14-06-2025

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GTl5G-AIgnitestheThree-TypesofNewIntelligentServices

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Date

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06-14-2025

V1.0.0

GTl5G-AIgnitestheThree-TypesofNewIntelligentServices

Content

Introduction 1

Chapter1SynergisticProgressionofTechnologyRevolution&MobileCommunication 1

1.1.EvolutionaryJourneyofMobileCommunicationServices 1

1.2.TheTechnologicalRevolutionandtheSynergisticEvolutionofMobileCommunications 3

Chapter2TypicalScenariosandRequirements 5

2.1.OverviewofNewInformationConsumptionServices 5

2.1.1.TheThree-TypesofNewIntelligentServicesIncubatedbyMobileCommunications 5

2.1.2.DevelopmentDriversandPoliciesofNewInformationConsumptionServices 9

2.2.TypicalScenariosandRequirementsofIntelligentRobots 12

2.2.1.TypicalScenarios 12

2.2.2.TheWorkflow 14

2.2.3.ServiceRequirements 16

2.3.TypicalScenariosandRequirementsofAIAgent 20

2.3.1.IntroductionofAIAgent 20

2.3.2.TypicalScenarios 22

2.3.3.TheWorkflow 23

2.3.4.ServiceRequirements 27

2.4.TypicalScenariosandRequirementsofAIGlasses 32

2.4.1.TypicalScenarios 32

2.4.2.TheWorkflow 33

2.4.3.ServiceRequirements 34

2.5.TypicalScenariosandRequirementsofIntelligentConnectedVehicles 37

2.5.1.TypicalScenarios 37

2.5.2.TheWorkflow 38

2.5.3.ServiceRequirement 41

Chapter35G-AEmpowersNewInformationConsumptionServices 43

3.1.5G-ATechnologyScope 43

3.2.EnhancedConnectivityGuarantee 44

3.3.ComputingPowerResourcesOpeningandSharing 51

3.4.DataAcquisitionandStorage 54

Chapter4SummaryandOutlook 55

Appendix:TheTheoreticalAnalysisofEmbodiedIntelligenceServiceRequirement 58

1

Introduction

Atpresent,theworldisacceleratingtowardsaneweraofdigitizationandintelligenceinwhicheverythingisconnected,andthepatternofinformationservicesusheringinstructuralchangesdrivenby5G-Advanced(5G-A)technologies.Asakeystageintheevolutionfrom5Gto6G,5G-Aisbecomingthecoreengineforinformationservicesthroughatenfoldupgradeoftechnicalcapabilitiesandmulti-dimensionalintegrationandinnovation.Thiswhitepaperfocusesonthethree

-typesofnewintelligentservices—intelligentrobots,intelligentdevices,andintelligentconnectedvehicles—andsystematicallycompilestheirtypicalscenariorequirements,withtheaimofprovidingforward-lookingguidancefortheintelligentupgradingoftheindustry.Inaddition,thiswhitepaperalsofocusesonthescaledevelopmentofthethree-typesofnewintelligentservicesenabledby5G-A.Throughstandardization,cross-areacollaboration,andecologicalco-construction,5G-Awillacceleratethetransitionfromcapabilityenhancementtovaluecreation,injectingvalueintothedigitaleconomy.Inthefuture,thein-depth5G-A×AIconvergencewillfurtherunleashthepotentialof“Human-Vehicles-Device”interconnectionandopenaneweraofintelligentsociety.

Chapter1SynergisticProgressionofTechnology

Revolution&MobileCommunication

1.1.EvolutionaryJourneyofMobileCommunicationServices

Communicationisanoldbutmodernword.Beforethe19thcentury,peoplecommunicatedmainlybyletter.Inthe19thcentury,withtheenlightenmentandrapiddevelopmentofcommunicationtheoriesandbasicsciences,communicationtechnologywitnessedgreatprogressenteredtheeraofmobilecommunication.

Inthe1980s,theFirstgenerationanalogmobilecommunicationsystem(1G)basedontheconceptof“cellular”achievedlarge-scalecommercialization,using

GTl5G-AIgnitestheThree-TypesofNewIntelligentServices

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FrequencyDivisionMultipleAccess(FDMA)technologytorealizeanalogmodulationofvoicesignals.TheSecondGenerationdigitalmobilecommunicationsystem(2G)isbasedonTimeDivisionMultipleAccess(TDMA)technology,totransmitvoiceandlow-speeddataservices,andrealizeglobalroaming.Withthefurtherdevelopmentofdataandmultimediacommunications,theThirdGenerationmobilecommunicationsystem(3G)cameintobeing,usingCodeDivisionMultipleAccess(CMDA)technologytoenhancethesecurityofdatacommunications,notonlytoprovidehigh-qualityvoiceservices,simultaneoustransmissionofvoiceanddatainformation,butalsotosupportmultimediaservicesandtheaccesstothemobileInternet.

3Ghasrealizedthegoalofmobilebroadbandmultimediacommunication,butithasnotstoppedpeoplefromfurtherresearchoncommunicationtechnology.The4thGeneration(4G)mobilecommunicationtechnologyisrepresentedby3GPPLTE/LTE-Asystem,whichintroducesOrthogonalFrequencyDivisionMultiplexing),MIMO(Multi-Input&Multi-Output(OFDM),andotherkeytechnologies.In4G,benefitingfromtheimprovementinnetworkperformance(suchasrateanddelay),theIP-basedmultimediacommunicationservicesandtheintegrationofmobilecommunicationandWLANservicesarerealizedandbringnewexperiencesforusers.

Onthisbasis,alongwiththevigorousdevelopmentandinnovationofupper-layerapplications(includingtheneedsofindividualconsumersandindustrycustomers),themobilecommunicationnetworkneedstoprovidediversified,flexible,andcustomizableservices,andtherateisnolongertheonlypursuit.The5thGeneration(5G)mobilecommunicationtechnologycontainsthreetypicalapplicationscenarios,enhancedMobileBroadband(eMBB),ultra-ReliableLowLatencyCommunications(uRLLC),andmassiveMachineTypeofCommunication(mMTC),whichputforwardbrandnewrequirementsonrate,delay,reliability,connectionscaleandothercapabilities.

Table1Summaryoftheevolutionofmobilecommunicationnetworkandservices

GTl5G-AIgnitestheThree-TypesofNewIntelligentServices

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Mobilecommunicationtechnology

Networkcapabilities

Servicesandapplications

1G

/

Analogvoiceservices

2G

Rate:10~×100kbps

Digitalvoice,text

3G

Rate：(DL)3.6Mbps(UL)382kbps

High-qualityvoiceservices,multimediaservices,mobileInternetservices

4G

Rate:10Mbps~1Gbps

Radiodelay:≧10ms

Trafficdensity:0.1~1Mbps/m2

Connectiondensity:105/km2

Mobility:350km/h

IP-basedmultimediacommunicationservices,VoLTE,IoT

5G

Rate:100Mbps~10Gbps

Radiodelay:mslevel

Trafficdensity:10Mbps/m2

Connectiondensity:106/km2

Mobility:500km/h

eMBB：HDvideos、VR/AR

uRLLC：verticals(V2X,smartfactory,etc.)

mMTC：AIoT(smartlogistics,smartcities,etc.)

Throughoutthedevelopmentofmobilecommunications,networkandbusiness,terminalinterdependencebetweenthethree,promoteeachother,theevolutionofthenetworktopromotetherapiddevelopmentofterminalsandservices,incubatingmorenewneedsofusers,andthegrowingdemandforabetterlifefortheuserhasinjectedthedrivingforceforthecontinuousdevelopmentofmobilecommunicationstechnology.

1.2.TheTechnologicalRevolutionandtheSynergisticEvolutionofMobileCommunications

Thetechnologicalrevolutionandmobilecommunicationtechnologyarereshapingtheglobalindustriallandscapewithsynergisticevolutionspirally.Scientificandtechnologicalchangescenteredonartificialintelligence(AI),theInternetofThings(IoT),andcloudcomputingaredrivingserviceformstodeepintelligence.AI

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modelsbreakthroughtheboundariesofcognitionanddecision-making,equippingmachineswithhuman-likecapabilities,andmobilecommunicationtechnology(5G/5G-A)isbecomingthe“neuralnetwork”ofintelligenttransformationthroughthecharacteristicsofultra-lowlatency,ultra-largebandwidth,andubiquitousconnectivity.Inthefuture,servicedevelopmentwillbecharacterizedbyintelligence-infusedapplications,3D-enabledcontent,andcloud-migratedservices.

1.Intelligence-infusedapplications

BreakthroughsinAItechnologyandtheAI-communicationnetworkconvergencegiveriseto“AI+”applicationscenarios.AIapplicationswithpowerfuldataprocessingcapabilitiesanddeeplearningtechnologycanmoreaccuratelyunderstanduserneedsandbehavior,soastoprovidemorepersonalized,intelligentservices.TheintegrationoftechnologiesinmultiplefieldshaspromotedthedevelopmentofmobileAIservices,andincubatedthreenewtypesofinformationconsumptionservicessuchasembodiedintelligentrobots,intelligentdevices,andintelligentInternet-connectedvehicles,etc.WiththewideapplicationofemergingAIservices,thedemandforconnectivityandcomputingpowerhasalsoshownsignificantgrowth.

2.3D-enabledcontent

Withthecontinuousmaturityof3Ddisplaytechnologyandcontentgenerationtechnology,servicecontentwillgraduallyshiftfrom2Dto3D.3Dapplicationsofferaricherexperienceforusers,thankstotheiruniqueimmersive,high-qualitydisplay,andinteractivecapabilities.Atpresent,themainformsareXR,glass-free3D,etc.Thisshiftfrom2Dto3Dnotonlyhelpstoimprovetheefficiencyofusers'workandlife,butalsosignalsthatfutureentertainmentapplicationswillpaymoreattentiontouserexperienceandinteractivity,andpromotetheinnovativedevelopmentofthewholeindustry.

3.Cloud-migratedservices

Withthecontinuousmaturationandpopularizationofcloudcomputing

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technology,cloud-basedservicesaregraduallydevelopingwiththewidespreaddeploymentof5Gnetworks.Thebandwidthandlatencyguaranteesprovidestrongsupportforcloud-basedservices,enablinguserstoaccesscloud-basedservicesanytimeandanywhere,realizingatrulymobileworkandlife.Inaddition,thedevelopmentofcloud-basedservicesnotonlyreducesoperationandmaintenancecostsandimprovesresourceutilizationefficiency,butalsoenablesservicestorespondtomarketchangesmoreflexibly.Inthefuture,cloud-basedserviceswillbeappliedinmorefields,bringingusersmoreconvenient,efficient,andrichexperiences.

Chapter2TypicalScenariosandRequirements

2.1.OverviewofNewInformationConsumptionServices

2.1.1.TheThree-TypesofNewIntelligentServicesIncubatedbyMobileCommunications

1.Embodiedintelligentrobots:breakthroughsinembodiedintelligence

EmbodiedAIrealizesthequalitativechangeoftheclosedloopof“Perception-Decision-Motion”byempoweringrobotswiththeabilitytointeractwithreal-timeenvironments,promotingthetransformationofrobotsfromasingletooltoanautonomouscollaborativepartnerwithan“embodiedbrain”,andrealizingautonomouslearningandcomplexenvironmentinteraction.Thetechnologicalbreakthroughsofembodiedintelligentrobotsfocusonthreemajordirections.Thefirstistheintegrationofmulti-modalperception,withthehelpofLiDAR,visualsensors,andtactilefeedbacktobuildhuman-likesenses,forexample,BostonDynamicsrobotsdynamicallyadapttocomplexterrain,andChinaMobile's“BodyBrain”forrobottrainingbasedontheJiutianBigModelcanintegratemulti-sourcedatatoimprovesceneadaptability.Thesecondisautonomouslearningandgeneralizationability,throughdeepreinforcementlearningandsimulationtraining,robotscanquicklymigrateskillstorealtasks,suchasTeslaOptimuslearninghouseworkoperations.Thethirdistheupgradingofhuman-machineemotional

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interaction,breakingthroughthetraditionalcommandmode,forinstance,thepensionerrobotcanfeeltheuser'semotionsandprovideactivehealthsupport.

Theembodiedintelligentrobotarchitectureincludestherobot“brain”forplanninganddecision,therobot“cerebellum”formotioncontrol,andtherobot“body”.Therearetwotypesofarchitecturemodels,thehierarchicaldecision-makingmodelandtheend-to-endmodel.Thehierarchicaldecision-makingmodelbreaksdownthetaskintodifferentlayers,trainswithmultipleneuralnetworksrespectively,andthencombinestheminthewayofapipeline.Therearedatatransfer,interaction,andcoordinationneedsbetweendifferentlayersinthehierarchicaldecision-makingmodel,withrelativelylessneedfortrainingdataandastrongerscenegeneralizationability.TakeFigure1robotasanexample.TherobotbrainaccessesAImulti-modalbigmodelandprovidesvisualinferenceandlanguageunderstanding,therobotcerebellumactsasthecerebellumformotioncontrolandgeneratestorsosensingandexecution,andtherobotbodyacceptsthemotioncommandsfromtheneuralnetworkstrategyforcontrolexecution.Theend-to-endmodelcombinestherobotbrainandtherobotcerebellumintoone,anddirectlyconvertsthetaskobjectivesintocontrolsignalsthroughasingleneuralnetworktraining,realizingaseamlessconnectionfrominputtooutput,whichhastheadvantageofdataandcomputingpower,andcansupportthecomplextrainingneedsoftheend-to-endmodel;however,theamountofdatarequiredisestimatedtobeatthelevelofhundredsofbillions,andthespeedofreasoningandresponseisslow.Atpresent,mostroboticscompaniesemploythehierarchicaldecision-makingmodel,suchasFigure,AgiBot,Leju,etc.,sincethemulti-layerindustrialcollaborationreducesproductdevelopmentandapplicationcycles.TeslaandGoogleemploytheend-to-endmodel,whichhaslowerdevelopmentcomplexityandcansavethetransmissionandcoordinationcostsbroughtaboutbymulti-layercollaboration.

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Figure1Theembodiedintelligentrobotarchitecture

Fortheapplications,embodiedintelligentrobotsareextendingfrombasicservicestohigh-valuescenarios.Infamilyscenarios,AIdietitianrobotsachievepersonalizedhealthmanagement.Intheindustry,multi-robotcollaborativeassemblyimprovesautomobilemanufacturingefficiency.Indangerousenvironments,robotsreplacehumanstocarryouthigh-risktasks,suchasoverhaulingnuclearpowerplants.Inthefuture,withthe5G-A/6Gnetworkoptimizingdelayandquantumcomputingtoacceleratedecision-making,2030isexpectedtoentertheeraofubiquitousintelligentagents,inwhichrobotswillbecomethecorecarrieroftheconvergenceofthedigitaleconomyandtheentityindustry.

2.Intelligentdevices:acceleratingubiquitousintelligence

Asthecoreentranceofinformationconsumption,intelligentdeviceshaveevolvedfromcommunicationtoolstoAI-drivenmulti-modalinteractionplatforms.Ubiquitousintelligenceaimsattheseamlessconvergenceandactiveservice,relyingonthetechnologicalintegrationandecologicalsynergyofintelligentdevices,topromoteintelligentservicestobeseamlesslyintegratedintohumanlifeandrealizethedeepinterconnectionandactiveresponseofHuman-Machines-Device-Environments.Asacarrier,intelligentdevicesareacceleratingthisprocessthroughtechnologicalinnovationandsceneexpansion.Atthetechnologicallevel,theend-sidecomputingleap(AIcellphoneNPUcomputingpowerupto100TOPS)andmulti-modalinteractionupgrade(ARnavigation,intentunderstanding)supporttens

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ofbillionsofparametersoflargemodelsforlocalizedoperation.Theend-cloudsynergisticarchitecture(HongmengOScross-equipmentlatencylessthan0.5seconds)andAInativeoperatingsystemreconstructthelogicoftheservice,realizingthetransformationfroma“human-controlleddevice”to“equipmentpredictingdemand”.

Fortheapplications,intheToCmarket,intelligentdeviceshaveenteredourdailylife.Forexample,whole-housesmartdevicesareactivelylinkedtohandlingsecurityandenergyconsumption,andtheAIcellphonehasbecomeanintelligentpersonalassistant.IntheToBscenarios,industryAIdevicesoptimizetheproductionlinethroughdigitaltwins,andthesmartcitypromotesvehicle-road-cloudsynergytoreducecongestion.Moreover,theemergingapplications,suchasthelow-altitudeUAVclusterschedulingandmeta-universeXR,arebuildingintegratedvirtual-realityexperienceandcontinuingtoexpandtheboundaries.

Theacceleratedrealizationofubiquitousintelligenceisessentiallythetripleresonanceoftechnology,scene,andecology.Fromthebreakthroughofcomputingpowerontheendsidetothesynergyofthewholescene,theintelligentdeviceisevolvingfromanisolateddevicetoaubiquitousintelligentagent,reconfiguringtheinteractionmodeandproductivityformofhumansociety.Inthefuture,withtheintegrationof6Gcommunication,quantumcomputing,andothertechnologies,intelligentdeviceswillbemoredeeplyintegratedintothephysicalworld,reshapethesocialoperationparadigm,andbecomethecorehubfortheconvergenceofthedigitaleconomyandtheentityindustry.

3.Intelligentconnectedvehicles:reconstructingthetrafficecology

Intelligentconnectedvehiclestakethedeepintegrationofvehicle,road,cloud,network,andmapasthecore,andthroughtechnologicalbreakthroughsandecologicalrestructuring,upgradethetraditionaltravelmodetoanefficient,safe,andsustainableintelligenttransportationsystem.Atthetechnologicallevel,multi-modalsensinganddecision-making(LIDAR+high-precisionmapstorealizecentimeter-level

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environmentrecognition)andvehicle-road-cloudsynergy(5G-A/6Gnetworktosupportmillisecond-levelinteractions)breakthedatasilos,andtheautomotivesoftwaresystem(TeslaFSD,HongmengOScross-endsynergy)promotesfunctioniterationandecologicalopenness.Fortheapplications,Robotaxi'ssingle-kilometercostisreducedtoRMB1.8,andtheintelligentcockpitreshapesthedrivingexperiencethroughAR-HUDandemotionalinteraction.

Intelligentconnectedvehiclesarenotonlytheproductoftechnologyintegrationbutalsotheengineoftravelecologicalreconstruction.Throughvehicle-road-cloudcollaboration,datadrive,andecologicalopenness,itispromotingthetransformationofthetransportationsystemfrom“peopleadaptingtovehicles”to“vehiclesservingpeople”.Inthefuture,withtheintegrationof6Gcommunication,quantumcomputing,andothertechnologies,intelligentconnectedvehicleswillbedeeplyembeddedinthesmartcity,andbecomethecorenodeofthesynergisticdevelopmentofthedigitaleconomyandtheentityindustry.

2.1.2.DevelopmentDriversandPoliciesofNewInformationConsumptionServices

Asanewtypeofgrowthpointintheeraofdigitaleconomy,thedevelopmentofemergingbusinessesrepresentedbythe“NewThreeKinds”ofinformationconsumptionhasbeenstronglysupportedbytheChinesegovernmentandlocalpolicies,andacceleratedbymultipledrivingforces,suchastechnologicalbreakthroughs,marketdemandandindustrychainsynergy.

1.Nationalpolicysupport

China'snationalpolicieshaveprovidedall-roundsupportforthe“threenewtypes”ofinformationconsumptionthroughacombinationoftop-leveldesign,financialincentives,scenarioopeningandcommercialsupport.Intelligentterminals,robotsandintelligentnetworkedcarsareacceleratingtowardsscaleandindustrializationunderthedualdriveoftechnologicalbreakthroughsandmarketdemand.Withcontinuedpolicysupportandsteadygrowthinmarketsize,China's

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intelligentemergingbusinessisabouttoenteraperiodofrapiddevelopment.

(1)Top-leveldesignandstrategicplanning

●Nationalstrategicpositioning:TheChinesegovernment'sworkreportin2025explicitlylistssmartgrid-connectednewenergyvehicles,artificiallyintelligentcellphonesandcomputers,andintelligentrobotsasnew-generationintelligentterminals,andpositionsthemasthe“threenewthings”ofinformationconsumption,aimingatreleasingthepotentialofconsumptionandfosteringnewqualityofproductivity.

●ChineseLocalpolicysupport:LocalgovernmentsofShenzhen,Chongqingandotherplaceshaveissuedspecialdocumentstosupporttheresearchanddevelopmentofembodiedintelligentrobots,forexample,the“ShenzhenActionPlanforTechnologicalInnovationandIndustryDevelopmentofEmbodiedIntelligentRobotics(2025-2027)”,issuedin2025,mentionedthatthefocusonsupportingembodiedintelligentroboticcorecomponents,AIchips,bionicmanipulatorandotherkeycoretechnologyresearchanddevelopment.

(2)Applicationscenariosandcommercialsupport

●Scenario-basedtrialingandcommercializationsupport:ManyChineselocalgovernmentspromotethetrialinganddemonstrationoftheapplicationofthethree-typesofnewintelligentservicesinlogistics,industry,transportation,andotherscenarios.

●Governmentprocurementandbenchmarkingdemonstration:ManyChineselocalgovernmentshaveincludedintelligentrobotsandintelligentterminalsintheirgovernmentprocurementcatalogs,forexample,Hefeiplanstopromoteintelligentroboticsolutionsineducation,healthcare,andotherfields.

2.Industrydevelopmentdrivers

(1)Technologyintegrationandinnovationbreakthroughs:Thedeep

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integrationof5Gnetworks,AIbigmodels,cloudcomputing,andothermulti-disciplinarytechnologiespromotestheupgradingofintelligentdevicesinthedirectionoflow-powerconsumptionandhighcomputingpower,suchasend-sidebigmodelssignificantlyimprovingthenaturalinteractioncapabilityofcellphonesandwearabledevices.Intelligentconnectedvehiclesrelyonthedevelopmentofvehicle-gradechipsandtheintegrationofvehicle-road-cloudarchitecturetorealizetheleapfromsingle-vehicleintelligencetofull-domaincollaboration.Intelligentrobotsbenefitfromthetechnologyiterationofthe“Perception-Decision-Control”chain,combinedwithmulti-modalAIbreakthroughsintheabilitytoadapttocomplexscenes.Moreover,thecollaborativeinnovationoftheupstreamanddownstreamoftheindustrychainacceleratesthecommercializationoftechnologylanding,whilethecloudcollaborativearchitecturecanfurtherreducethecomputingthreshold,givingrisetothescaleapplicationoflightweightdevicesandhigh-precisionservices,formingatechnology-drivenmultipliereffect.

(2)Marketdemandandconsumptionupgrading:Thefirstisagingandintelligentdemand.Undertheagingtrend,thedemandforhomerobotsandintelligenthealthdevicesissurging.Inaddition,themarketexpansionofintelligentconnectedvehiclesisacceleratedduetotheincreaseinnewenergypenetrationrate.Secondly,theupgradingofconsumerelectronicsispromotingthedevicemarketiteration.CellphonesaretransformingintoAIphones,andwearablesareextendingtomorescenariossuchashealthmonitoring.

(3)Industrychainsynergyandecologicalconstruction:Thefirstisthetransformationoftheroleofoperators.From“pipelineprovider”to“ecologicalbuilder”,operatorsaregraduallybuildingtheindustrialecosystemthroughthepan-allianceintegrationofterminalvendorsandchipcompanies.Thesecondistheeffectoftheregionalindustryclusters.Localgovernmentsareactivelylayingoutindustrialclusterdemonstrationareas,suchasShenzhentocreatea“4+3”intelligentroboticsindustrylayout,HangzhouQiantangDistrictandNingboQianwanNewDistrictformtheHangzhouBayIntelligentConnectedVehicleCluster,reducingthe

GTl5G-AIgnitestheThree-TypesofNewInt