ICDT集成6G网络2.0（英文）

ICDTIntegrated6GNet信技术、计算机技术、人工智能与大数据技术融合（ICDT）发展带来的创新机ICDT融合的6G将是一个端到端的信息处理与服务系统，是通信网络、感观的能力度量，围绕通信能力、计算能力、感知能力、AI能力和安全能力定义ICDT融合的6G网络是感知、通信、计算、智能一体化架构，资源共享、布式计算、分布式感知、分布式智能、内生安全ICDT融合的6G终端是功能升级的智能体，一是从智能个人终端向更友好ICDT融合的6G技术必然来带ICDT融合产业形态，形成以集成电路、基础软硬件为上游，以信息处理基础设施、能力平台和终端为中游，升级的2C、ExecutiveSummary(O&M)of5Gnetwork.ThesecondoneistofInformation,Communication,bigDataandAITechnology(ICDT).system,andanintelligentnnetworkandcomputingnetwoinformationprocessingefficiencyasa6Gintuiticapabilitymatrixandkeyperformanceindexpriorityintermsofccapability,anddiscussesthetheoretiefficiencyandthetechnicalwaytomaximizeinformationpcommunication,computingandintelligence,withresourcesharing,capabilitycontrolfunction,usercontrolfunctionandservicecontrolintelligence,Intrinsicsecurityandintention-sensingabilityandmulti-bandnetworkingability.Especially,wirelhighhardwareefficiencyandhighinformationprocessincapabilities.First,formforconvenientuse.Third,itdevelopsfrompersonalteFourth,itdevelopsfromaclosedarchitkindsofterminalsprovideimportantsupportfortherichapplicationof6G.softwareandhardwareaapplicationsasthedownstream.Forthebetterdevelopmentof6G,thispaperproposescultivate6Ghigh-endtalentsystem,formtheeffectofContents摘要1 2 12.ICDT-integrated6G 3 3 3 4 62.1.4ImmersiveServices:Multi-ModeHuman-MachineInt 72.1.5NetworkAutonomousServ 72.26GInformationProcessingRequ 92.36GCapabilityMea 11 132.4.1CommunicationCap 132.4.2ComputingCapa 13 14 15 163.ICDT-integratedNetworkArchitecture 183.1Sensing-Communication-ComputingIntegratedNetworkArchitecture 18 21 21 21 22 24 264.ICDT-integrated6GA 284.1IntegratedAirInterfaceofSensingandCommunication 28 32 344.3.1LearnedTransmissionw 34 38 404.3.4Multi-bandNet 41 43 44 45 45 47 48 48 50 55 55 56 5611.Introductioninformationtechnology,communicationtechnology,artificialinteinformationcomputing,andinformationacapabilitiesinmultipledimensiintelligence,andsecurity.Thewhiteparchitectureandprotocolstacks,sensing-communication-computingintegration,space-air-groundintegration,nativeintelligentnetworkarchitecture,AI-enablevisiblelight,ultra-large-scaleantecross-borderintegrationtechnologiessuchasquantuminformation,biologicalinformation,The6GtechnologydevelopmentisacceleratInJanuary2021,theEuropeanUnionhasofficiallylaunchedtheprojectHexa-X.InFebruary,theNokiaBellLabsinthe6GCommunicationWhitepaper.JapanhasannouncedtechnologyresearchinMarchandhasreleasedtheBeyond5GpromotionstrroadmapinApril.GermanyhasinitiatedthefirstresearchprojectrandVisionV1.0whitepaperandtheninitiatedtheresearchandregulationof6Gcases.2announcedtoinvest220billionwontodevelopanbefore2025,andtheRadioCommunicationsResearchInstituteofRussiahassubmittedadraftfor6GresearchroadmaptotheUltra-Large-ScaleAntennaTechnologyReport.Ithefutureresearchlabdedicateglobal6Gdevelopmentimulti-layerbreakthrouThiswhitepaperisthesecondversionofICDT-integratebasisofversion1.0[1],thiinterfaces,terminals,andindustry,inframeworkcommunication,andcoproblemsof6G,andproposesnewsolutionsof6G.32.ICDT-integrated6GCapabilitiesof5GinspirespeopletoimagineandexpectthNewservices,newapplications,andcasesbasedontherevolutionoftheproductivityandproductionrelationshipmayexceedthelimitof5G.Theinformation,communication,andbiimprovementofnetworkservicecapabilityandoperationaleffinetworkwillbecapableofnaedgeAIanddistributedAIdevapplication,datasecuritycirculation,andotherapplicationoftechnologiesnmaturetechnologiesandconceptsof5Gmobilenetworks,anChallengesofhugeinvest"metaverse".Thishasproposedhigherrequirementsofinformationprocessing,drivingthecommunicationnetworktowardanupgradeofthecommunicationnetwork4ofmobileterminalstoautonomousthings.2.1.2UnmannedService:AutonomousthingIninteraction,andresponse,suchasrobots,unmannedvehicles(UAVs),andotherintelligentmobiledautonomousthingshasbecomethetechnicalsuppInformationinteractionofautonomousthingsreferstothebehaviorofdaunmannedproduction,thenetworkinteractionlatency,largerinteractionbandwidth,anCurrently,therearetwoexplicitwaystoimproveinformationinteractionperformance.(communication),toreduwellastheinteractionbandwidthandprocessinononehand,the6Gairinterfathemillimeterwave,terahcapabilityandoverlapwithmorewirelesssensingfrequencybands.Ontheotherhand,wirelesscommunicationandwirelesssensinghsystemdesign,signalprocessing,dataprocessing,andsoon.Thistechnologytechnologieshaspromotedcommunication-searevolutionarythinkingpatternforinformationinteractionofautonomousthings.betweenautonomousthiandsystemsisimbetweenagentscanbeimplementeddirectlyorthroughthenetwork.station(BS)isalsoconsideredasatypeofautonomousthing,interactionofautonomousthingscanbegeneralibetweenautonomousthin5modelinteraction,reasoncooperativesensing.Datainteraction,throughdataintegratItisalsoknownascooperativetraining.Reasoninginteractionreferstothetheautonomousthing'sexecutionunit,topromotetaskexecutionorrespondtounexpected,emergenteventsoftasks.carrierswithdifferentcapabilitiesofsensing,communication,computingandlearning;processingwithcoupledsensing,communication,andcomputingisneedcycle),theservicemanagemententityconductstaskmointent.Asub-taskreferstotheoperationactionswithtrelationships.Alloperabinformationprocessingprocedures.Theinformatiodecision-making.Communicationisusedfortheinteractionofsensingcontent,unmannedservicesstartsfromtheinitialstatusandgoesthrinformationprocessingloopsuntilthetargetsta6Figure1LifecycleImodels,andanalysistoolsinthelifecycleincludesthedatacollecdigitaltwinisalsocapableofmodellearningtopromoteself-evolutioincludingtheexteriorarethreelevelsforfutureservicescenariosthesigntwin,toimplementall-aroundremotemeasurementandaccuratepredictionofthehumanbodysigns.Thesecondlevelisthecommunictransmittheemotionofthehumanbodyandthefeelingsofthefivesenseorgans.Thethirdlevelisthecontroltrabrain-computercommunication,andevenbrain-braininteraction.Analysisofpersonalbehavioralhabits,physiologicalcharacteimproveinteractionestatusinformationofacertaindimensionanda7thensenttothephysicalsysteminalow-latencyhigh-reliaboptimizingtheperformanceorcompletingtheobjecThe6Gnetworksupportsnotonlytheinformationinteractionbetvirtualelements(components)andtheinformationinteractionbetweevirtualsystems,toimplementthedigitaltwinaggre2.1.4ImmersiveServices:Multi-ModeHuman-MachineInterImmersiveservicesrefertossuchasAR/VR/XR(vision),holograph(vision)(multiplesenses).Multi-modehuvision,hearing,touch,taste,andsmesupportsXRcloudrenderithe3Dvirtualenvironmentthroughcloudrenderingandlow-latencynetwork,andAIforbuildingultra-realisticuserexperience.Computingpowermakesthecreationandexperienceofvirtualcontentpossibrealisticmodeling,rendering,anddiComputing-power-supportedAItegeneratemoreabundantandrealisticcontent.Thecomputing-power-baWorkiscurrentlythemostconsensusmechanisandexchangeofvirtualassets.Thestrongbasiccapabilrespectofdigitalimage,emotionandvalue,tograduallyfo2.1.5NetworkAutonomousServices:IntentInterac8anautonomousmanagementofthenetwork.Thesystemiscapableofoperation,spontaneousadjustment,andwhichisanimportantaspectfor6GandthebasisofnetwoFigure2IntentInteractiIntentinteractioncantransmitdataandintentsbetwwellasnetworkstatus.Theinformationofintentinteractionmainlyinclintent,physicalnetworkelement(NE)topology,availableresourceandoperatingsystemversinteractionincludesthetop-to-bottomintenstatussensingprocess.Figure2showssystemobtainstheorchestration,andthengcomponents.Thenetworkintheclosed-loopsensingandreal-timeverificationofnetworkautonomousservices.9OPEXin6Gnetworksexpressionofabstractandmacroscopicalintent.Thentheintentcanbetranslatedintodatabase.Thevalidityofthenewserviceneedstobefurtherproved,andthetranslationresultofregularserviceneedstobepre-vsatisfiestheintent.Intheend,thesystemwillmonicontinuouslyverifythepolicyexecution.Thenetworkautonomousserviceshelprealize6Gnetworkautomationandintelligeserviceagility,ensureusInformationperception,informationdelivery,informationinformationapplicationarethefourfunctionalprocedurestutilizethepriorinformationofdifferentprocessingloops,causingunnecessaryprocessinglatency.TheICDT-integratedservicetrendpromoteinformationprocessingfunctionsandtheoverlapofadjacentloops,anditsupportstheimportantfunctionprocessingproceduretobeintegratefacedwithrevolution,andcommunication-sensingintegration,processing,asshowninFigure4.Figure4ICDT-integCommunication-sensingintegratandcommunication.Ononehand,thewirelesssensingsharesthefrequencyspectrum,hardware,andinformationwiththewirelesscommunication,andthejointsignaladjustedandcompromisedinthesensingandcommunicationprocessingtooptimizetheinformationprocessingeandintegratedtoconsandcomputingpowerareintegratedregardingprotocols,forms,andComputingpowerandthenethroughthetraditionalmethodofdestination-addressingroucomputingpowernetworkcollaborativtheformlayer,realizingcomputingpowerinthschedulingcenteronthebrService-networkintegration:InthecontrolledfunctservicemanagemententitysettingsdynamicallyschedulservicerequirementsbasedonthenetworkandautonomousTherefore,thetraditionalinformationseservices,users,networks,andterminalswillevolveintoarchitectureintegratingsensing,communication,aInthisarchitecture,theattributesandstatusesofservices,userterminals(autonomousthings)aremutstatusesofuserspassthroughthenetwork,terminals,andapplicationplatforms.providemoreabundantcontent,moreimmersiveeFigure5.ICDTNetworkArchitectureforInformation2.36GCapabilityMeasur6Gisanintelligentnetworkintegratingthecommunicatnetwork,andcomputingnetwork,andthereforethecapabilitymeasuremenconductedforthecomprapplications.Inthisthesis,weattempttoproposetheconceptoimportanttheoreticaltopictobuildtheinformatiframeworkandstudythetechnicalpathformaximizinginformationprocessingFirst,6Gisaninformationprocessingsystem.Theinform6Gservicesandinthinformationprocessingvolumeisthenecessaryinformationtopromotethestatus.Necessaryinformatioinformationsensingvolume,informationdecomputingvolume,andeachprocessingprocedurewillgenerincrement.InformationsensingprovidestheoriginalincremenDeterminingtheminimuminformationincrementaimstoavoidunnecessaryinformationprocessing,thusmaximizingtheinformationprocessmodelinganddecompositionofinformationpquantificationofinformationprocessingresources.InformationprocessingtasksInformationprocessingresourcesincludesensingresources,communicationresources,andcomputingpowerresources.Undertheassdividedintodifferentsub-tasksolutiooptimizationultimatelybecomestheproblemofhowtomatchtheinformationprocessingtaskandtheinformationprocessingresource.Constraintinditheinformationprocessinglatencyandinformationprocessingreliabilitycanbefurtherdefined.Informationprocessinglatenccommunicationlatency,andcomputinglatency,andinformatisthereliabilityoftheinformatreliability,andcomputingreliabilityconsidered.insuranceofservicequalityandserviceexperiencesandtheconstraintsofjointschedulingofmulti-dimensionalresources.Tosimplifythtofindtheoptimizedresourceschedulingsolutionaccordingtotheiprocessingtaskindicators.TheoptimizationofthemutualresourceschedulingsolutionandtheprocessingtaskThemulti-dimensionalfnotlistedinthematri2.4.1CommunicationCa6Gcommunicationisdividedintotwoparts,includingterrestrialcommunandsatellitecommunication,andtheirperformanceindicatorthesameasthoseof4Gand5G,includingthreliability,capacity(numberofccertainty,whichisthekeintegrationarchitecture,satellitecommunicommunication,andthekeyperformanceindicatorsofsatellitecincludetheexperiencerateand554554544345ofindividualcomputingcenters,servers,orcomcomputingperformanceinthetargetdomainunderthecomputingnetworkintegrationthecharacteristicsofdiversifiedcores,distributedubiquiclusteradvantagesthroughnetworkconnections.6Gcomputingwillsucomputingarchitecturessuchashigh-performancecomputing(e.g.matrixapplicationrequirementssuchasComputingisdividedincloudcomputing,andedgeccomputingandstoragearethepeakcomp55445555445544555554555456Gsensingcapabilityisthecomprehensiverepresentationofthenetworksensingandterminalsensing.DuetothelimitationoftheterminalsensingcaTargetpositioningincludesmeasurement,andspeedmeasurement.Inspecificalsobedividedintohorizontalpositioning,triandimension,thekeyindicators,similartothecommunicationsystemperformanceSpecifically,itcanbedividedintotheaccuracyofdistancemeasurement/speedmeasurement/anglemeasurement,non-blurdistance/speed,resolutionofdistance/speed/angle,andsoon.Thedetectionaccuracyusualprobability,includingthevirtualdetectionprobabilityandmissinformationprocessingtaskswithhighreal-tibeconsidered.Usually,ther554455544555444intelligentinterconnection,autonomousthinghigh-efficiencyinterconnection,and"sensing-decision-execution"integration.Multi-layerin-depthintegrationwithAIhelpsrealizenetworkautonomy,self-adjustment,amanagement,intelligentdecision-making,andexternalextractionandpackagingnetworkcapability,toprovideunderlyingcapabilityguaranteeforAIapplications.Animportantfeatureof6GAIisdistributedmulti-lmulti-domainAI,enablinghigh-efficiencydeviceswithlowcomputingpoweranterminalresourceeanalyzestheterminalandairinterfacestatus,toimprovetheoptimizesnetworkdeploymentandmanagement,tobuildthenet6GAIcapabilitywillbrain-machineinteraction,autonomousthiautonomousthinginteractionapplications.Table1.4showsthe6GAIcap5544Accessnetworkintelli45544545Table1.46GAICapabilityM2.4.5SecurityCapabdemandforthebasictrustmechanism,intelligentcollaboration,certificationaconsideredforthetraditionaldecentralized,add-on,andascompleteness,availability,andprivacyprotection.Withtconceptofhumanbiology,weadoptaninwardthinkingpatternanddigitaltwinnativecapabilitiesoftmonitoring,analysis,ttransformpassivedefenseintoactivedeofeach6Gnetworklayerneedstobeprotected,includingthesecurityofeachdirection.Therefore,thoptimizedevicestothemaximumextentFromtheperspectiveofcapability,the6GIntrinsicsecurityconstructedwithrelatedfunctionsofthenetworksinceandotherlevelscanimplementall-netincludesintelligentdecision-makingandintelligentsecuritycapabilities,in-depthidentityincludingthephysicallayerorbiologicalcapabilityneedstoautomaticallyanalyzetheimpactandadafortheentirenetworkinaccordancewiththenetworkchanges,exterchanges,andinternal5555544455542.ICDT-integratedNetworkArchitecture3.1Sensing-Communication-ComputingIntegratedNetworkwellascomputingandstoragerescommunicationresourceincludesthesoftwareandhardwareresourcessuchasrouters,resources.Thecomputingresourceincludesvarioustypesofheterogeneousgeneralorservices,networks,andenvironmentinandoutofthenetwork,includingpersonalbigdata,medicalbigdata,industrialbigdata,transportatiocallsresourcestoformdifferentatomicfunThe6Gcapabilitylayerthecapabilityofthenetwostatusthroughdatainterfaces,6Gwillusewirelesssensingtoimplpositioning(distancemeasurement,speedmeasurement,andanglemeasurement),tracing,detection,distance-measurement-basforwarding,addressing,routing,andsynchronization.toprovidedetergeneralcomputing,dedicatedcomputing,matrixcomputing,computing,distributedcomputing,andsoon,provtrainingandreasoning,prolanguageprocessing,computervision,androbotdecision-making.Thesebasicsecapabilitiescanfurthersupporthuman-machineinteracinteraction,andvirtual-realiFigure66GNetworkArchitecturewithIntegratedSensing,CFigure76GIntelligentControlframeCommunicationandComanagemententityandtoFigure7.Itmainlyincludesthenetworkbrain(networkintelligenceandconfunction,usercontrolfunction,serviwellascomputingnodes,communicationnodes(accessandforwardingnodes,andterminalnodestheserviceorchestrationbasedoncommunicatijointorchestrationofcommunicationandcomputingpowerbarequirements.Inparticular,thesensingfunctionsensesalstatusesoftheentiresystemandsharesthemwiththenetworkbrainandotherfunctionalentitiesinrealcapabilityandensuretherequirementsfornetworkopThebrainofthenetworkempowersthecollaborative"centralized+distributed"controlforhierarchicalintegratednetworkinenablesflexibleresourceschedulingbetlayers.Byintegratingcdistributedandcentralizedpatterns,it,ontheonehand,extendsmorenetworkfunctionstotheedgesofthenetworkforregionalautonomyofedgenetworks,antheotherhand,orchestration&schedulingforthepurposeofsupportingmorecomplIntheISACarchitecture,twonnodesintraditionalnetworks,witintelligencefeatures,i.e.,autonomo3.2.1DistributedCompComputingnetworkisoneoftheessentialattributesof6G.Uponunifiedmanagementandcollaborativeschedulingofresourcesinmultipledimcommunicationandcomcomputingpowerthroughoutthenetwork,includingcentralized,distributed,andcombinedtechnologyroutes.Amongthemsharingofdecentralizedcomputingpowerresourcesandefficiencyincrease.Distributedcomputingisbasedonnetworkdistributedcontimplementingthedistributionofcomputingpowerinformationandtheroutingbasedpropercomputingnodes.Therefore,distributedcomputinghasthefollowingkeyelements:modelinganddecompositionofcomputingtasks,modelcomputingpowerresources,andallocationandsynchroniDistributedcomputingischallengedbyheterogeneousdata,heterogeneouscomputingresources,anddifferentAI3.2.2DistributedSenWithemergingnewtechnologies,newscenariosrequirementsforhighenergyefSystemsconsistingofindependentsensorsaredifficulttotackletheincreasinglyofthe6Gnetwork.Distributedsensingwouldbethekthatcommunicatevianetworksandworkcollaborativelytoimplementcommontasks,forthepurposesofutilizingmoremachinesandprocessingmorsensingisamulti-sensordatapresultstothedatacenterhighlyreliable,withlowerrequirementsforcomputingandcommunicationresources.Whileprovidingmassivedata,theuseofdistributedsensingtechnologiescouldavoid3.2.3DistributedIntell"Intelligence"meansthatAI/MLactsasthecoretechnologyforsensingandoptimaldecision-makingofthenetworkitself.Distributedintelligenceisancentralizedsystem.Assystemsbecomemorecomplexandrequirepoint-to-sharinginsteadofhierarchicalshaarchitectureturnstobeainherentlydistributedthroughoutthenetwork,eliminatingthebottlenecksofcentralizedsystems.Asintelligencejoins,eachnodebecomesacompleteautthingthatiscapableofcoordinatingandcooperatingwithothernodestoachiDistributedintelligencefocusesonstudyinghowdologdistributedintelligentsystemsccollaborativesystemconsistingofmultiplesubsystems,whichworkcollaborativelytotobesolvedcouldbedecomposedintosub-tasksandprocouldbedesignedandintegratedintoaunifiedwholetheproblem-solvingsystemcouldfulfillthegivenrequirementsontInthenext20years,AIwillbecomethemainstreandbewidelydeployedind[2].Distributedcomputingresourcecentralizedcloudsshifttoenablethetransmissionofsomeparametersorrunningresults,insteadofallrawdata,distributedAIplatformscouldsupporttheexchangeandcollaborationofmodelsAIbreaksthroughtheoperationalbottleneckofcentralizedincollectiveintelligence-basedreasoningcollaboration,andpnetwork.ThiswillmakeAIapplicationsindustry-wideintelligentcommunicationebecomeahotspotintheindulearningwasproposedintheindustrialcircle.Asadistributedmdiscretelythroughlocaltrainingusingdecentralizeddataonnodesatmobileterminals.achievingthepurposeofprotecti