4.王映民：以用戶為中心的6G網(wǎng)絡(luò)架構(gòu)

User-CentricNetworkArchitecture

for6G

YingminWang

CICTMobile

Apr.2024

Immersive

Communication

IntegratedAI

and

Communication

Integrated

Sensingand

Communication

eMBB

IMT-2020

mMTCURLLC

Massive

Communication

HyperReliable

andLow-

Latency

Communication

UbiquitousConnectivity

6GNetworkVision

GlobalCoverage

Intelligent

Connectivity

TrustedSecurity

Green&Lowcarbon

NewcapabilitiessuchasAI,

sensing,andubiquitous

connectivity.

6GNetworkVision

KPIsof6Gareaimedatthe

systematicrequirementsof

thenetwork

2

Increasinglycomplexnetwork

architecturestomeettherequirements

ofdifferentscenaiors

Difficulttoadapttotheflexibleand

efficientadaptationneedsof6G

networks.

Currentnetworkisnotflexibleenough

fordiversifiedrequirementsof6G

applications

Theflexibleandautomatedmapping

fromSLAtoslicesisdifficult.

Difficultyinflexiblyscheduling

networkresourcesfordifferentservice

requirements

Flexibility

Theadditionofnewfeaturesandservices

canaffectexistingservicesbecauseof

thecouplingofthenetworkservices

Usersselectcorrespondingservices

basedonservicerequirementswithina

limitedscope

3

Service

TheChallengesof6GNetworks

Architecture

Anelasticandreconfigurable6Gnetworkshouldsupportefficientinteractionbetweenusersandthenetworktoflexiblymeetthepersonalizedrequirementsofallusers

Implementingon-demandorchestrationof

networkfunctionsthroughatomizationand

exposureofnetworkfunctions

Forminganunifiedpoolofcapability

resourcesandprovidinginvocationservices

externallythroughunifiedencapsulation.

Providingcustomizedservicesthrough

crosslayerandon-demandintelligent

orchestration

4

ElasticandReconfigurable

ServiceA

Computingresource

Networkresource

Storageresource

AI

resource

Unifiedorchestrationandcontrol

Networkresourcepool

Terminals

ServiceB

ServiceC

Supportingdynamicorchestrationofnetworkfunctions,providingcustomizedservices,andreconstructingthenetworkflexibly

TheFeaturesof6GNetwork

Architecture

User-centriccontrolandmanagement

Meetvariousheterogeneousaccessscenariosandnetworkperformance

requirements

Implementcomplementarynetwork

resourcesandon-demandnetworking

Decreasethecomplexityofnetwork

architecture

Improvenetworkoperationalefficiency

Reducenetworkmaintenancecosts

6G

network

Fullydecouplesoft/hardresources.

Flexibleallocationofresources

Increasenetworkflexibilityand

adaptability

Eliminatenetworkprotocol

differences

Orchestratethenetworkfunctionson-demandanddeployresources

flexibly

Integratingtheendogenous

capabilitiesofintelligence,computing

power,andsecurity

Achieveubiquitousnetworkconnection,

ubiquitouscomputingpower,and

ubiquitousintelligence

5

NetworkCentric

UserCentric

?Architectureistightlycoupledandhaslowsceneadaptability

?Theperformanceofthecelllimitstheuser

experienceduetothebindingbetweenthebasestationcellandtheUE

?UsersselectconnectionservicescorrespondingtodifferentslicesandQoSconfigurationswithina

limitedrangebasedonscenarios

?Thecoarseuseofnetworkstrategiestoprovideservicestodifferentusers

?Userdataisscatteredeverywhere,andthe

networklacksacomprehensiveperceptionofusers

6GNetworkModelTransformation

?Unifiednetworkarchitecturesuitableforallscenariosandusers

?Agiledeploymentofcustomizednetworkscanaccuratelymatchtheneedsofdifferentusers.

?Dynamicdetectionofchangesinuser

requirements,elasticreconstructionofnetworkfunctions,providingconsistentnetworkservicesforusers

?Supportcollaborativeperceptionandfusionofmultimodaldata,perceiveusersaccuratelyandcomprehensively

?Efficientcollaborationbetweencloud-network-endtoensureuserservicequality

User-centric6Gnetworkwillcollaboratewiththecloud-network-endtoprovide

userswithelasticandcustomizablenetworkservices.

6

x-UP

DTU

x-UP

RA-NF

RadioAccessNF

ConnectionNF

AI-NF

DTU

Comp-NF

D-NF

S-NF

DTU

x-UP

DataNF

SensingNF

Distributed

TransportUnit

X-DimensionalUserPlane

ComputingNF

AINF

AI-NF

>Centralized+DistributedOn-demanddeployment

>ScenarioCustomization

InterconnectionInterworking

>NodeAutonomyPlugandPlay

>AccurateService

On-demandcollaboration

D-NF

Comp-NF

S-NF

Comp-NF

AI-NFD-NFS-NF

x-UP

RA-NF

DTU

DTU

End-to-EndUserCentricNetwork

Con-NF

Comp-NF

AI-NFD-NFS-NF

Centralized

Node

RA-NF

Con-NF

Comp-AI-NF

NF

DTU

Distributed

Nodes

RA-NF

Con-NF

D-NF

RA-NF

Distributed

Nodes

Con-

NF

RA-NF

7

Decouplingandrefactoringaccordingtomicro-services.

S-NF

R-NF

D-NF

NF

C-NF

A-NF

Ondemandelastic

reconstruction

SBI:Http2.0->Http3.0

ServiceAgent

DN

UP

DTU

UP

EvolutionarySupportforDistributedService

Framework

Introducingserverlesstechnologytomake

businessmore

lightweightonline

Thecontrol

surfaceinterfaceofUPcanevolveinaservice-based

UE

manner.

Service-basedNetworkFunctions

Unifiedserviceframeworkfornetwork

functions

DefineRANservice-orientedfunctionsand

flexiblyreconstructthemwiththecore

networkfunctions

Theservice-basedinterfaceprotocolis

evolvingtowardsmoreflexible,open,efficient,

andreliableprotocols

Realizerapiddeploymentandstartupof

serviceswithoutconsideringinfrastructure

construction

8

CentralizedNode

ControlPlane

Scenariocustomization

Customizationofscale,capability,performance,

processes,protocols,etc.

Data

Plane

Contextdata

UserNetwork

DistributedNode

DistributedNode

Distributedautonomy

Autonomouswithinnodes

andself-organizing

collaborationbetweennodes.

DistributedNode

ControlPlane

User

Plane

ControlPlane

User

Plane

ControlPlane

User

Plane

Data

Plane

Data

Plane

EmpowermentPlane

EmpowermentPlane

9

User-CentricNetworking

User

Plane

EmpowermentPlane

Nodescollaboration

Networkfollowingusers

Thenetworkquicklyadapts

anddynamicallyadjuststo

changesofuser'sneedsor

location.

Networkfollowingusers

Userinsensitivity

Intelligentadaptationprovidesuserswith

consistentnetworkservices

Con-NF

x-UP

RA-NF

Comp-D-NFS-NF

User-CentricAccessNetwork(UCAN)

Providingservicestousersbasedonflexiblecell

Flexiblecell

?ItiscomposedofoneormoreAPsassociatedwithaUEandservesasawirelessnetworkareaforasingleUE.

?DynamicallyprovidingwirelesslinkservicestotheUE,

keepingitintheoptimalservicepositionforaflexiblecell.

Mainfeatures

?Dynamicallybuilddeepcustomizedaccessnetworksbased

onreal-timeuserneeds.

?Ondemandelasticreconstructionofnetworksidenodestooptimizeresourceallocation.

?Unifieddesignofmultipletypesofnetworks,collaborativeprovisionofaccessservicesforusers.

?Dynamicallydetectuserneedsandintelligentlyandadaptivelyprovidecustomizedservices.

NF

DTU

Flexible

cell

10

Sensingoftheenvironment,networkresources

andstatus,userrequirements/intentions,and

businessquality.

Analysisof

thesensing

data,and

validation

inthe

digitaltwin

network.

Automatically

configures

execution

accordingto

thedecision-

making

strategy.

Decision-makingbasedontheanalysis

results,includingiterativeoptimization

andexecutiondeployment.

11

IntelligenceEndogenousNetwork

Intelligenceendogenousprocessinglogicclosed-loop

Byimplementinglogicalloopsbetweennetworkelements,functionallayers,andfunctional

layers,thenetworkachievesitsendogenousintelligenceandprovidesintelligentandinclusive

capabilitiesfornetworkapplications

User-CentricIntelligentAccessNetwork

Alternativetotheoriginal

Acertainfunctionalmodule

Sub-functionalmodule1/modelinference

Sub-functionalmodule2

communicationsystem

Offlinetrainingandonlinetrainingwithminimaldatarequirementsareconductedexternally,whileonlinetrainingandinferencewithlargedatarequirementsare

conductedinternally;

Machinelearninginferencemodelswithinthesystemcanbeprovidedby

machinelearningtraininginstitutionsoutsidethesystem,orbymachinelearningonlinetraininginstitutionswithinthesystem.

The6Gsystemneedstodefineandevenstandardizetheinternalmachinelearning-relatedinferenceandtraininginstitutions.

Machinelearningtrainingstructure

Machinelearning

trainingmechanism

(Online)

Machinelearninginferencestructure

classicmodule

Machinelearninginferencestructure/reinforcement

learningagent

Inferencedata

Output

Modeland/or

training/inference

Non-wirelesscommunication

APIprovidedbythewireless

Controltrainingactions

systeminterface

Trainingdata

RANsystem

Model

data

Model

HierarchicalRANintelligentarchitecture

Differenthardwarearchitecturesandprocessingcapabilities

Differentlevelsofcloudification,virtualization,andintelligenceDifferentdataprocessingvolumesandprocessinglatency

requirements

Differentlevelsofintelligence

12

QoSassuranceof

computingpower

service

Computingpower

servicelifecycle

management

collaborative

scheduling

orchestrationand

…

ComputingpowerOAM

Centralcomputingpowerresourcepool(centralcloudcomputingpower,corenetworkcomputingpower,etc.)）

Computingpower

serviceorchestration

andscheduling

Computingnetwork

resource

management

Computingpower

servicelifecycle

management

…

Distributedcomputingpowernetworkorchestrationandmanagementcenter

Thedistributednetworkfunction

enhancestheendogenouscomputingpowerfunction,sharingofcomputingpowerresourcesofdistributednodes,providingend-edgecollaborative

computingpowerservices.

Usercentric

cloud-edge-

end

collaborative

computing

service

scheduling

Distributedresourcepools(distributed

networkfunctionscomputingpower,

MEC,etc...)

Con-

NF

x-UP

Comp-NF

AI-NF

RA-NF

DTU

Comp-NF

D-NFS-NF

Con-

NF

EnhancetheendogenouscomputingpowerfunctionoftheCUfunctionofthecontrolplaneoftheaccessnetwork,sharingofthe

endogenouscomputingpowerresourcesofthe

wireless,providingthe

end-edgecollaborative

computingpowerservice.

Computing

power

awareness

Computing

power

registration

Computingpower

serviceorchestration

andscheduling

Computingnetwork

resource

management

Lightweightcomputingpowernetworkorchestration

managementcenter

x-UP

DTU

RA-NF

User-orientededge-

endcollaborative

computingservice

scheduling

Computinginfrastructure

(Basestationcomputingpower,

MEC,etc.)

13

User-CentricComputingPower

Networks

User-centric

distributedmulti-level

power

computing

CentralComputing

PowerNetwork

Computingpower

serviceorchestration

andscheduling

Computing

networkresource

management

Ubiquitousdistributedterminalssupport

computingpower

registration,real-timeperceptionof

computingpower

status,sharingof

computingpowerandcloud-edge-end

collaborative

computingpower

services.

Computingpowerregistration

Computing

powerawareness

Computinginfrastructure

(terminalcomputingpower,

heterogeneouscomputingp