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TheNext-generationProtocolStack-RANArchitecture,ProtocolStackandFunction5.0
WHITEPAPERV9.0C
2023.03
-01-
ExecutiveSummary
BasedonthepreviousstudyofRANinwhitepaper,thiswhitepaperfacing6GgivesapotentialsolutionforthearchitectureofRANandframeworkoftheprotocolstack.Inthissolution,thetechnologyofdigitaltwinisintroducedtosupportAItoembedintofunctionalitiesofRAN,andthenative-AIcomputingpowerfornative-AIRANisscheduledondemand.
ThewhitepaperhopestoarousethecontinuousattentionandthinkingfromthetheacademicandindustrialontheresearchofthearchitectureofRANandtheframeworkofprotocolstackfor6G,sothatthedeepintegrationofICDTandpromotethecomprehensivedevelopmentof6Gareachieved.
TableofContents
ExecutiveSummary01
Introduction01
1Introduction03
2NativeAIRANArchitecture03
2.1"Cloud"and"Terminal"FlexibleArchitectureforMobileNetworks
03
2.2ICDTRANFunctionofNativeAI
09
2.3Summary
17
3Intent-DrivenProtocolManagementControlArchitecture17
3.1DevelopmentofNetworkManagementProtocols
19
3.2Intent-DrivenNext-GenerationRANControlArchitecture
23
3.3KeyTechnologies
25
3.4IntentLifecycleManagement
29
3.5Summary
31
Reference32
Abbreviation33
Acknowledgement34
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1.Introduction
Thewhitepaperproposes6Gprotocolstackviewsandthinkingfor2030+,basedonthepublishedversionssuchas"TheNext-generationProtocolStackoverAirInterface4.0"and"TheNext-generationProtocolStackoverAirInterface3.0".Wehopetoprovidereferencetostudythe6G-orientedprotocolstackarchitectureandfunctionsfortheindustry.
TheCU-DUseparationarchitectureof5Gprovidesflexibilityforthedistributeddeploymentofbasestations.BasedontheCU-DUseparationarchitecture,on-demandfunctionalconfigurationof6GRANisachieved,thusrealizingaflexiblearchitectureof"cloud"and"terminal",whichprovidesarchitecturalsupportfornativeAIanddigitaltwins.
Bydefiningthefunctionsofthecorenetworkandseparationmodebasestationsonthe"cloud",thefunctionsoftheremainingbasestationsaredeployedonthe"terminal".The"cloud"and"terminal"arewirelesslyconnected,andthe"terminal"sideprovideswirelesscoverageoverairinterface.Throughthecontrolonthe"cloud"side,the"terminal"siderealizeswirelesscoverage,wirelessshutdown,interferencecoordinationandloadbalancing.
Thenext-generationRANreliesontheapplicationintentminingcapabilityprovidedbyintent-drivennetworks,theglobalsensingcapabilityofnetworkstatus,andthereal-timeoptimizationcapabilityofnetworkconfiguration.Itproposesanintent-drivennext-generationRANmanagementprotocolarchitecture,includingmodulessuchasintenttranslation,policyconfiguration,andresourceorchestration.Throughreal-timestatusmonitoring,itrealizesthefulllifecyclemanagementofuserintent,providinganewfeasibleapproachforthenext-generationRANmanagementprotocol.
2.NativeAIRANArchitecture
2.1"Cloud"and"Terminal"FlexibleArchitectureforMobileNetworks
Undertheunifiedcontrolofthe"cloud"side,each"terminal"sideorserviceaccesspointcanactasaterminal.Thecore"cloud"sideusesAImodelinganddigitaltwinstoachievefull-scaledigitalcontrolofphysicalspace,therebyachievingprecisedynamicnetworkingandcoverageexpansion,andachieving"flexible"networking.
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The"cloud"sidedigitizesthephysicalspaceofthenetworkcoverage,establishesadigitaltwinwarehouseforbigdata,andintroducesAItoolstocontrolthecoverageonthe"terminal"side,achievingtheself-organizedwirelesscoverageonthe"terminal"sideundertheunifiedcontrolof"cloud"side,andachievingflexiblenetworkcoverageon-demand,basedonscenariosandserviceneeds.
1.Functionalentitiesonthe"cloud"side.
Communicationnetworkfunctions:includingthefunctionsofthecorenetwork(CN)andsomeradioaccessnetwork(RAN)functions.Thesefunctionalentitiesaresoftware-defined,includingpacketprocessingfunctionsandsignalingcontrolparts.Thecorenetworkincludesallfunctionalentitiesofthecorenetwork.SomeRANfunctionsincludelayer3controlplaneanduserplanefunctionalentities,aswellaslayer2datapacketprocessingparts.Forexample,theUPF,AMF,andSMFfunctionalentitiesofthecorenetwork,aswellastheRRC,SDAP,andPDCPsignalinganddataplanefunctionalentitiesoftheRANareincluded.Inaddition,thereareinterfacefunctionsconnectedtothe"terminal"side,includinginitialestablishment,modification,anddeletionofinterfaceconnections.
AIandbigdatafunctions(AI&BD)refertodigitalmodelinginformationfortheentirenetworkcoveragespace,suchasthecoveragerange,buildingfeatures,spatialheight,userserviceandbehavioralcharacteristicswithinthecoveragerange,andthree-dimensionalcoordinateinformationofthecoveragespace.Stateparametersoftheentirenetworkoperation,variousstateparametersrelatedtothenetworkitself,service,andusersgeneratedduringnetworkfunctionoperation.Storagefunction,computingfunction,andtrainingfunctionsofAImodelsfortheabovedata.Basedontheabovedata,adigitaltwin(digitalmirror:bysamplingthephysicalenvironmentfeatureparameters,thedigitaldescriptionofthephysicalenvironmentisachieved.)environmentofthephysicalcoverageenvironmentisconstructed.Basedonthisdigitaltwinenvironment,AItoolsareusedfornetworkself-evolution,self-generation,andself-maintenance,tocarryoutfunctionaltesting,operationverification,errortesting,anddeploymentofnewfeaturesbasedonthenetwork'snewfunctionsandcharacteristics.
TheAIandbigdatafunctionsonthe"cloud"sidemodel,predict,andcontrolthenetworkcoverageonthe"terminal"side.Whenitisnecessarytoturnononeorseveralwirelessdevicesonthe"terminal"side(whichcanbevariousterminalsorwirelessaccesspointsspeciallyusedforcoverageenhancement)accordingtoterminalsorwirelesscoveragedevices,itprovidesanetworkingsolutionfor"terminal"devicesinthearea,includingtheconnectionrelationship,
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power,interferencecoordinationstrategy,maximumservicevolume,andwirelessairinterfacenetworkingstrategyforeachterminalandwirelesscoveragedevice.
2.Functionalentitiesonthe"terminal"side:mainlyincludingthelow-levelprocessingpartoftheRANfacingtheairinterface.Forexample,theMAClayerfunctionalentity,thephysicallayer(PHY)functionalentity,andtheradiofrequencypartoftheairinterface.Inaddition,thereareinterfacefunctionsconnectedtothe"cloud"side,includinginitialestablishment,modification,anddeletionofinterfaceconnections.
Thetwopartscanbeconnectedbywiredorwirelessmeans.Ifitisawirelessconnection,the"terminal"sidedevicehastwotypesofwirelessinterfaces:oneisawirelessfrequencypointandcorrespondingfrequencypointsearchfunctionthatisconnectedtothe"cloud"sidedevice,andtheotherisawirelessfrequencypointfunctionthatcanreceivewirelessairinterfacecoverageofterminalaccess.
The"terminal"sidefunctionaldevicehasthefunctionofsearchingfor"cloud"sidefunctionaldevice;afterthe"terminal"sidefunctionaldeviceispoweredon,itactivelysearchesforthe"cloud"sidefunctionaldeviceandinitiatestheconnectionestablishment.
Figure1"Cloud"and"Terminal"FlexibleArchitectureforMobileNetworks
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InFigure1,the"cloud"sidedevicesrunonthecloudplatform,andthe"terminal"sidedevicesaredeployedinremotelocationstoachieveairinterfacecoverage.
InitialAccessProcess:
Figure2showstheprocessofinitialaccessofthe"terminal"devicetothe"cloud"device.
Figure2InitialAccessProcessfor"Cloud"and"Terminal"Devices
Step1:Afterthe"terminal"deviceispoweredon,itonlygoesthroughtheinitialaccessprocessofthe"cloud"deviceanddoesnottransmitsignalstoacceptterminalaccess.Ifitisawirelessconnection,thebasicinformationoftheairinterfaceaccessofthe"cloud"deviceisobtainedbyreceivingthebroadcastsentbythe"cloud"device.
TheNextgenerationProtocolStackRANArchitecture,ProtocolStackandFunction5.0
Step2:Startsearchingforthe"cloud"device.Ifitisawiredconnection(suchasthe"terminal"devicedetectingthatthenetworkportorothercableconnectioninterfaceisalreadyconnected),the"terminal"deviceinitiatesaconnectionrequestonthewiredport.Ifitisawirelessconnection,the"terminal"devicesearchesforthe"cloud"devicesignal,completesfrequencylocking,andinitiatesaconnectionrequestontheselectedfrequencypoint.The"terminal"devicehastheabilitytoprovideairinterfacecoverageofabasestationandtoconnecttothe"cloud"deviceviawiredorwirelessmeans.The"terminal"devicealsohastheabilitytoconnecttothewirelessfrequencypointsandfrequencypointsofairinterfacecoverageforthe"cloud"device.Thewirelessfrequencypointconnectedtothe"cloud"devicecanbethesamesystembandwidthastheairinterfacecoveragefrequencydomain(3G,4G,or5Gfrequencypoints),oritcanbeacompletelyindependentdifferentfrequencypoint(3G,4G,or5Gfrequencypoints),oritcanevenbemicrowaveorWifi.
Step3:Completeairinterfacesynchronizationandclocksynchronizationofthewirelesssystemthrougharandomaccess.Theairinterfacesynchronizationisfortheuplinkchannelsynchronization.The"terminal"devicecompletestheuplinkchannelsynchronizationthroughrandomaccessbyreceivingthebroadcastofthe"cloud"devicefordownlinksynchronization.Atthesametime,thesystemclockisobtainedduringtherandomaccess,andtheclockofthe"cloud"deviceiscarriedintherandom-accessedresponsemessagesentfromthe"cloud"devicetothe"terminal"device.
Aftercompletingtherandomaccessprocess,the"terminal"devicesendsaconnectionestablishmentrequestmessagetotheinterfaceofthe"terminal"deviceandthe"cloud"device.Themessageforconnectionestablishmentrequestcontainsrelevantinformationsuchastheportandbearerprotocolofthe"terminal"devicefunctionalitiesofinterface.
Step4:Afterthe"cloud"devicereceivesthemessageforconnectionestablishmentrequestfromthe"terminal"device,itsendsaconnectionestablishmentmessage.Thismessagecontainsinformationabouttheportandbearerprotocolofthe"terminal"devicethatcorrespondstothefunctionalitiesoftheinterfaceofthe"cloud"device.
Step5:Afterthe"terminal"devicesuccessfullyestablishestheconnection,itreplieswithamessageindicatingconnectionestablishmentcompletion.
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TheNext-generationProtocolStack-RANArchitecture,ProtocolStackandFunction5.0
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Step6:The"terminal"devicereportsitscapabilitiestothe"cloud"device.Thisincludesthemaximumnumberofusersthe"terminal"devicecansupport,theQoSlevelofuserservices,themaximumcoverageofairinterface,thefrequencypointlistofallairinterfacecoveragesupported,theversionofbasestationprotocolsupported,thefunctionsoftheprotocolsonwirelessaccesslayersupported,includingoneorseveralprotocollayerfunctionsofLayer1,Layer2,andLayer3,thefunctionalparameterssupportedbytheprotocollayer,suchastheRLClayeronlysupportingtheUMmode,andthePHYlayeronlysupportingthe16Portscapability,andtheconfigurablewirelessaccesslayerfunctionsthatcanbesupportedintheflexiblenetwork.
Step7:Afterreceivingthecapabilitiesreportedbythe"terminal"device,the"cloud"deviceobtainstheexistingcellsatthelocationofthe"terminal"device,andconfigurestheneighborcells,includingthefrequency,maximumtransmissionpower,maximumcoverageradius,averagecoverageradius,andotherparameters,tothe"terminal"device.
Step8:Afterreceivingtheneighborcelllistconfiguredbythe"cloud"device,the"terminal"deviceinitiatesneighborcellmeasurement.Itwillobtainthesignalstrength,receivedinterferencelevel,andothermeasurementparametersofeachcellinthelistatthelocationofthe"terminal"device.
Step9:The"end"devicereportsthemeasurementparametersoftheneighborcells'power,interference,andotheridentifyingsignalstrengthstothe"cloud"device.
Step10:Afterreceivingthemeasurement,the"cloud"devicecalculatesthesignalstrengtharoundthe"terminal"device,anddecideswhethertoallowterminalaccessasabasestationdevicebasedonthesignalconditionandthecurrentloadofthecell.Ifallowed,thetransmissionpower,signalcoveragerange,systemload(numberofusers,datathroughput,etc.),andaccesslayerprotocolfunctionsofthe"terminal"devicewillbeconfigured.Ifnotallowed,the"terminal"devicewillbeconfiguredtobesilent.
Step11:The"terminal"deviceexecutesthe"cloud"configurationafterreceivingthe"cloud"device'sconfiguration,andcontinuestoreportmeasurementstothe"cloud"device.
Step12:The"cloud"deviceperiodicallyorevent-triggeredlyperformsclocksynchronizationwiththe"terminal"device,andthe"terminal"devicemayalsoinitiateclocksynchronizationrequests
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basedonitsownoperation.
Step13:Basedonthebigdatainformationinthedigitalenvironmentofthe"terminal"device,the"cloud"deviceobtainstheinterconnectionandnetworkingschemeofthe"terminal"devicewiththeexisting"terminal"devices,andconfiguresittotherelevant"terminal"devicestotriggertheupdateoftheinterconnectionrelationshipofthe"terminal"device,therebyachievingflexibleupdateofRANcoverage.
Throughtheabovestepsandtheunifiedcontrolofthe"cloud"device,mutualinterferenceofthe"terminal"devicesisavoided.
Oneapplicationscenariois:
InstallinganSoCthatsupports"terminal"devicesonalaptopintheoffice.Wheneveryoneishavingameetinginaconferenceroom,eachlaptopcanfunctionasbothaterminalandanaccesspoint(AP)forthebasestation.
Eachlaptopautomaticallyconnectstothe"cloud"device,andthroughthecontrolofthe"cloud"device,itisdeterminedwhichlaptopcanbeabasestationandwhichoneisaterminal.Thisenhancesindoorcoveragewhileavoidinginterference.
Serviceprocess:
Whentheterminalperformsservicethroughthe"terminal"device,thetransmissioncapacityoftheconnectioninterfacebetweenthe"cloud"deviceandthe"terminal"devicebecomesthebottleneckofuserservicecapabilities.
Atthistime,trafficcontrolisintroducedontheconnectioninterface.The"terminal"devicesendsatrafficrequesttothe"cloud"device,whichimprovesthebandwidthutilizationaccordingtotherequest.
2.2ICDTRANFunctionofNativeAI
In4G/5Gnetworks,AIisanexternalAI.Thatis,variousinformation(suchasMDTmeasurementenhancementscurrentlybeingstudiedandpromotedin3GPPR17)requiredbyAIfunctionalnodesisreportedtoAIthroughthenetworkside(basestationsandcorenetworks)andterminalside.
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AI-relatedprocessingiscarriedoutoutsideofnetworkelements,andAIfunctionalnodescollect,process,andtrainAImodels,andthensendtheresultsorgeneratedpoliciesofAIoperationbacktothenetwork.
Intheresearchof6Gnetworks,nativeAIanddigitaltwinshavebecomethecorefeaturesof6Gnetworks.
IntheNativeAI6Gnetwork,AIisnolongersimplyoptimizingwirelessresourcesoftheRAN,buthasbecomeanAIsystemintegratedwiththecorenetwork,transmissionnetwork,andwirelessaccess.The6GdigitaltwinsystemprovidesafundamentalrunningenvironmentforthenativeAIof6Gnetworks,whichprovidesbasicsupportforAI-relatedprocessingandcomputing,whilesimplifyingthephysicalnetwork'soperatingloadandcomplexity.Inotherwords,thedigitaltwinsystemandthenativeAIsystemof6Gnetworkstogetherformaseriesofonlineoperationsforphysicalnetworkoperation,maintenance,andapplication-orientedcontrolcalculations,becomingthebrainofthephysicalnetworkandcommandingeverypartofthephysicalnetworktocompletetheservicecapabilityrequiredbytheprotocoloroperator.
Currently,theAIin4G/5GnetworksisexternalAI,andtherearetwochallengesthatcannotbeovercome.1)InordertomakeAIresultsmoreaccurateoreffective,alargeamountofreal-timeandfine-grainedmeasurementinformationneedstobereportedtoexternalAIcenters,whichhashighcostsandinteroperabilityissues(interconnectionbetweendifferentmanufacturers),makingitimpossibletocommercializeincommercialnetworks.2)TheeffectivenessofAIonthenetworkreliesontheaccuracyofmeasurementdata,whichcanleadtoAI-generatedpoliciesthatcannotmatchtheneedsofthenetworkandfailtoreflectthegainsAIbringstothenetwork,makingitimpossibletoachievethevisionofanintelligentnetwork.
TheICDTRANsolutionofNativeAIandDigitalTwin(NAS:NonAccessStratum,relativetoAS:AccessStratum;thestratumisdividedaccordingtoNASandASontheterminalside,andaccordingtoCNandRANonthenetworkside).ICDTstandsforIntelligence,Communication,Data,andTechnology.Inthissolution,multi-levelcontrolofRANissupportedbyintroducingonlinedigitaltwinanddistributedAIfunctionsintodifferentfunctionalpartsofRAN,therebyrealizingtheICDTRANsolutionofNativeAIandDigitalTwin.
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OnlinedigitaltwinanddistributedAIfunctionsareintroducedintocloudunitsandedgeaccesspointsofRANtoachieveflexiblecontrolofthecloudandedge.
Figure2showstheICDTRANsolutionofNativeAI.
ForOnlineDTandOfflineDT,"offline"and"online"arenotrelatedtotraditional"high/lowreal-timeliness"or"high/lowspeed"andreflectthesynchronizationrelationshipbetweenthecorrespondingfunctionalentities.Forexample,OfflineDTcanobtainhighreal-timedataforaperiodoftimethroughrecordingandthenprocessthedatatoobtainsimulatedresults.
DistributedAIisalogicalconstraintrelationshipbetweenAIalgorithmsorAIfunctionsthatexistbetweenvariousfunctionalentitiesinthenetwork.ThedistributedlogicalconstraintrelationshipdefinesthedifferentAIalgorithmsandAIfunctionsasawholetocompletedifferentnetwork-relatedtasks,anddefinesthetasksthateachseparatedAIalgorithmorAIfunctionneedstoindependentlyundertakeundertheunifiedrequirementsoftheoverallnetworkfunction,includingthecalculationresultsdirectlyoutputtothenetworkfunction,thecalculationresultsoutputtootherAIalgorithmsorAIfunctionentities,andtheacceptanceofcalculationresultsfromotherAIalgorithmsorAIfunctionentities.Thislogicalconstraintrelationshipcanbeatightorlooseconstraintrelationship.Throughthislogicalconstraintrelationship,AIalgorithmsorAIfunctionscollaboratetocompletespecifictasks,anddifferentAIalgorithmsorAIfunctionscandirectlyexchangemessages,measurements,ordatainformation.
Figure2ICDTRANsolutionofNativeAI
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1.FortheinputsofeachASfunctionalentity,theyarealsosynchronouslyinputintothecorrespondingonlinesimulationfunctionalentityintheDTL.InordertoreducetheoverheadofrunningtheDTL,criticalinformationcanbeinputintotheDTL,whilenon-essentialinformation,suchasdatapackets(PUD),canbediscarded.EffectivePUDheaderscanbeinputintoDTL,whilethenetpayloadofthedatapacketisnotamust.
Theinputinformationincludessignaling,datapackets,measurementinformation,operationalmaintenanceinstructions,etc.
2.EachfunctionalentityoftheASreportsitsownkeyinformationduringitsoperationtotheDTL.Forexample,theerrorrateanddelayofeachPUDreceivedorsent.Additionally,eachfunctionalentityprovidesitsownsignalingcontrolinformation,suchasUEstatuschangesandmeasurementinformationaboutlinkqualityduringitsoperation.
3.Basedontheinputinformation,theDTLsimulatestheoperationofeachASfunctionalentityonlineandgeneratessignaling,policies,orcommandsfordifferentASfunctionalentitiesunderthedriveofAIalgorithms.
4.Thesignaling,policies,orcommandsgeneratedbytheDTLarefedbackasinputstotheASfunctionalentities.EachNASfunctionalentityperformslow-costorlow-overheadfastprocessingbasedontheinputs.
5.TheresultsareoutputbyeachASfunctionalentity.
6.TheoutputresultsaresimultaneouslyfedbacktotheDTLforverificationorcorrectionofeachoutputresult.
OntheRANside,changesintheconfigurationandupdatesofthedistributedAI(AIL)andonlineDT(DTL)fortheUEsidearecarriedthroughRRCsignaling,MACControlElement(MACCE),orMACPDU.
OntheUEside,theoperationstatusparameters,measurements,establishment,orupdaterequestsforAILandDTLarecarriedthroughRRCmeasurementsorMACCEorMACPDUandsenttotheRANside.
TheAILandDTLontheUEsideareentirelyestablished,changed,ordeletedunderthecontroloftheRANside.
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OAMcontrolstheAILandDTLontheUEsidethroughtheaboveRANmethods.
OntheCU(cloudunit),RRC,RRM,L3UP,andC-MAC(cloudMAC)arerunning.
OntheEU(edgeunit),D-MAC(dedicatedMAC,dedicatedtotheMACfunctionwithinthecell)andPHYarerunning.
SDAP/PDCP/RLCcanrunindependentlyontheCUandEU(ifthesethreeprotocolfunctionlayersstillexistinthefuture).
ForRRCandRRM,theyareclassifiedintotwomajorfunctionsaccordingtoUE-levelorrelatedfunctionsandCell-levelorrelatedfunctions.UE-levelorrelatedfunctionsrefertothemanagement,control,andmaintenanceofthecontextinformation,linkstatusandservicestatusoftheUEaccessedtotheRAN.Cell-levelorrelatedfunctionsrefertothemanagement,control,andmaintenanceofallcellsestablishedbytheRAN,suchasthemaximumnumberofusersthecellcanaccommodate,theairinterfacebandwidthofthecell,themaximumtransmissionpowerofthecell,themaximumthroughputofthecell,thecoverageareaofthecell,theidentityinformationofthecell,theinformationofadjacentcells,etc.
L3UPhastwotypesoffunctions:1.L3UPPDUdataprocessing;2.AssociatedinformationcollectionandprocessingcorrespondingtoeachPDUprocessed.Forexample,shapingthereceivedupper-layerdata(i.e.,restoringtheregularityofthereceivedupper-layerdatabasedontheknownservicecharacteristics,soastosendmoreaccuratelyovertheairinterface),controllingthetrafficofdatasenttothelowerlayer,stateinformationofeachdatapacketsentorreceivedatthelowerlayer,andstatisticalinformationofreceivedorsentdatapackets(size,interval,sendingdelaypattern).
C-MAChastwocategoriesoffunctions:1.ControlofD-MAC;2.CU-EUinterfacecontrol.
ThecontrolofD-MACmainlyincludes:
SDUshapingofdatasenttoeachD-MAC:AccordingtotheQoSrequirementsoftheserviceandthetransmissionstatusofeachD-MACdata,controlthetrafficofdatasenttoeachD-MAC,eliminatethetransmissionjitterofdatapacktets,scheduledatapacketscarryingassociatedcontrolinformation,reconstructthesendingofimportantorcriticaldatapackets,andsenddatapacketswhilerestoringthecorrectorderofpackets.
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SDUshapingofreceiveddataoneachD-MAC:exceptfortraditionalsorting,eliminationofrepeateddatapackets,deconstructionandreconstructionofimportantorkeydatapackets,trafficcontrolandthesensingofdatareceivingstate.
CollaborativecontrolbetweendifferentD-MACs:includingcoordinationofPRBs(PhysicalResourceBlocks)withinoverlappingcoverage,powerallocationorcontrol.
OrchestrationofD-MACfunctions:basedonthecharacteristicsofthedatatobetransmitted(service,traffic),specificMACfunctionsarecustomized,includingschedulingfunctions,measurementofresourceallocation,HARQmodeselection,modeselectionofHARQprocess,andHARQprocessselection,rateormodulationmethodortransportblock(TB)selection.
User-levelD-MACselection:foroneormoreD-MACfunctionalunitsbelongingtoaUE,thatis,thelinkbetweenC-MACandD-MAC,dynamicselectionorschedulingisperformedasneeded.BasedonthequalitymonitoringofdatareceptionandtransmissiononeachD-MACoftheUE,oneormoresuitableD-M
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