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DEFINITIONOFTHETESTINGFRAMEWORKFORNGMN5GTRIALANDTESTINGINITIATIVEPHASE2
byNGMNAlliance
Version:1.8
Date:
16.12.2022
DocumentType:
FinalDeliverable(approved)
ConfidentialityClass:
P-Public
AuthorisedRecipients:
(forCRdocumentsonly)
Project:
5GTrialandTestingInitiativePhase2
Editor/Submitter:
YueHao(CMCC)
Contributors:
ChenLiang(CMCC),WeiDeng(CMCC),CemilKarakus(Turkcell),RexyGeevarghese(BellCanada),FranDominguez(Vodafone),LydiaAlcalde(Vodafone),MiguelAngelMartinez(Vodafone),Che-WeiYeh(ChunghwaTelecom),HongbiaoZhang(CMCC),TingKe(CMCC),YuxuanXie(CMCC),XiaoxinHu(ZTE),YiDing(ZTE),YongZhan(ZTE),ShaolongLiu(ZTE),RuiGong(Huawei),XinqianXie(Huawei),HaijinLi(Huawei),JunChen(Huawei),XuZhang(Huawei),XueLiu(Huawei),YeYang(Huawei),HuajiangLiu(Huawei),YiShi(Huawei),TieShen(Nokia),ZhuyanZhao(Nokia),WulongWang(Nokia),GaryLi(Intel),LiangLiu(CMCC),LijieHu(CMCC),XiaoyaTang(CMCC),NingyuChen(CMCC),ChunhuiLiu(CMCC),WeiwenWeng(CMCC),YaLiu(CMCC),YanLi(CMCC),GuiyingWang(CMCC),XinyiWang(CMCC)
Approvedby/Date:
NGMNBoard,14thDecember2022
DefinitionoftheTestingFrameworkfortheNGMN5GTrialandTestingInitiativePhase2
Version1.8,16–December–2022
©2022NextGenerationMobileNetworksAlliancee.V.Allrightsreserved.NopartofthisdocumentmaybereproducedortransmittedinanyformorbyanymeanswithoutpriorwrittenpermissionfromNGMNAlliancee.V.
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DefinitionoftheTestingFrameworkfortheNGMN5GTrialandTestingInitiativePhase2
Version1.8,16–December–2022
Abstract
NGMNstartedits5GTrial&TestingInitiative(TTI)Phase2in2021tocontinuetheglobalcollaborationontestactivitiestowardsthecommercialisationof3GPPReleases16/17/18.ThisWhitePaperfocusesonthedefinitionofthetestingframeworkforRelease16,includingthetestconfigurations,theworkingscope,thetrialsetuprequirements,andthetestingmethodologies.Thescopeoftestingcoversfourtechnologycategories:SmartandEffectiveSystem,EnhancementofExistingCapabilities,MaximisingSpectrumValue,andNewApplicationEnabler.Eachcategoryconsistsofseveraltechnologydirections,whicharebrokendowntothetechnologyfeatureshighlightedfromtheglobaloperators’perspective.ThecorrespondingtestresultswillbepublishedinfutureNGMNdeliverables.
Contents
1Introduction 1
2Scope 2
3TrialSetupRequirements 3
3.1IndoorHotSpot 3
3.2DenseUrban 4
3.3UrbanMacro 5
3.4Rural 6
4SmartandEffectiveSystem 7
4.1ArtificialIntelligence(AI) 7
4.1.1Radio-Fingerprint-BasedSmartHandover 7
4.1.2QoEOptimisation 11
4.1.3ML-BasedAMC 14
4.1.4NetworkOrchestrationfortheSpectrumSharing 18
4.1.5SmartSliceResourceReservation 20
4.1.6DifferentiatedServicewiththeApplicationAwareness 23
4.2BaseStationEnergySaving 25
4.2.1Sub-FrameSilence 25
4.2.2ChannelSilence 31
4.2.3AAUShallowDormancy 35
4.2.4AAUDeepDormancy 39
4.2.5EnergyEfficiency 42
5EnhancementofExistingCapabilities 44
5.1UplinkCentricEvolution 44
5.1.1DFT-s-OFDMWaveformTest 44
5.2MassiveMIMOEvolution 47
5.2.1CodebookType2forMU-MIMO,DLCapacityIncrease 47
5.3URLLCEnhancement 50
5.3.1UplinkPre-AllocationforDelaySensitiveServices 50
5.3.2DSFrameStructure 53
6MaximiseSpectrumValue 55
6.1DuplexEvolution 55
6.1.1Cross-LinkInterference 56
6.1.2Sub-BandNon-OverlappingFullDuplex 61
6.2FlexibleSpectrumAccess 67
6.2.1Definition 67
6.2.2TestingEnvironment 67
6.2.3ReportingandAnalysingResults 69
6.3Multi-BandServingCell 70
6.3.1Definition 70
6.3.2TestingEnvironment 70
6.3.3ReportingandAnalysingResults 73
6.4HigherFrequency 73
6.4.1FR1andFR2NRDualConnectivity 73
6.4.2NRCarrierAggregation 77
7NewApplicationEnabler 80
7.1High-InteractiveBroadbandCommunication 80
7.1.1CapacityEvaluation 80
7.1.2UEPowerConsumptionEvaluation 86
7.2PositioningandSensingEvolution 89
7.2.15GPrecisePositioningSolution 89
7.2.2HarmonisedCommunicationandSensing 92
7.3PassiveIoT 95
7.3.1Definition 96
7.3.2TestingEnvironment 96
7.3.3ReportingandAnalysingResults 98
ListofAbbreviations 99
References 104
DefinitionoftheTestingFrameworkfortheNGMN5GTrialandTestingInitiativePhase2
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1INTRODUCTION
ThisWhitePaperisthefirstofsixdeliverablesofNGMN’s5GTrialandTestingInitiative(TTI)Phase2.Phase2hasthefollowingobjectives:
•Enabletheglobalcollaborationoftestingactivitiestosupportanefficient,successful,andin-time5Gtechnologyandserviceintroduction.
•ProofofConcept(PoC):Demonstratetheproofofconceptsonthe5Gfunctionalityandperformanceofpre-standards(Release17/18)technologies.
•Pre-commercialTrials:Visualise5Gcapabilitiesandadvantagesin(nearly)pre-commercialconditions(Release16/17/18).
•Consolidatecontributionsandreportontheindustryprogressinordertoensurethedevelopmentofgloballyaligned5Gtechnologyandservicesolutions.
•Identify,test,andpromotenewbusinessopportunitiesandusecaseswithindustrystakeholders(e.g.fromverticalindustries).
•ProvideNGMN’scontributionsto3GPPRelease16/17/18standards.
ThemilestonesofPhase2areillustratedinError!Referencesourcenotfound..ThecurrentmilestoneisD1.
Figure1:NGMNTTIPhase2Milestones
Notes:
•D1–TheframeworkdefinitionforR16/Implementationschemes/Prototypes(thisWhitePaper).
•D2-TestresultsforR16/Implementationschemes/Prototypes.
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•D3-TheframeworkdefinitionforR17/Implementationschemes/Prototypes.
•D4-TestresultsforR17/Implementationschemes/Prototypes.
•D5-TheframeworkdefinitionforR18/Implementationschemes/Prototypes.
•D6-TestresultsforR18/Implementationschemes/Prototypes.
2SCOPE
NGMN5GTTIPhase2includesthefollowingfourtechnologycategoriesandkeydirections.
Table1:NGMN5GTTIPhase2WorkingScope
TechnologyCategories
KeyDirections
Releases
SmartandEffectiveSystem
AI
R16
BaseStationEnergySaving
R16
EnhancementofExistingCapabilities
UplinkCentricEvolution
R16
MassiveMIMOEvolution
R16
URLLCEnhancement
R16
MobilityEnhancement
R16
MaximisingSpectrumValue
DuplexEvolution
R18
FlexibleSpectrumAccess
R18andbeyond
Multi-BandServing-Cell
R18andbeyond
HigherFrequency
R16
NewApplicationEnabler
PositioningandSensingEvolution
R16/R18andbeyond
PassiveIoT
R18andbeyond
NewBroadcastingEvolution
R17
High-InteractiveBroadbandCommunication
R17
Notes:
•Theworkingscopemaychangewiththeprojectmembers’plansandtheprojectprogress.
•Thetechnologiestobetestedcanbebasedon3GPPspecificationsorvendorspecificimplementationschemesorprototypes.
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•TheReleaseversioninTable1indicatesthepublicreleasetimeofthefirstdocumentcorrespondingtothatofeach3GPPstandards.Thedocumentcanbeimplementationschemes,prototypes,protocols,etc.,ofeachkeydirection.
3TRIALSETUPREQUIREMENTS
Thischapterspecifiesthedeploymentscenariosincludingtheusedfrequencybandsandallthepracticalconsiderationsforeachdeploymentscenario[1].Forthedetaileddeploymentrequirementsofeachtestingcase,pleaserefertotheTestingConfigurationinChapters4-7.Incaseofthedifferencebetweenthetestingconfigurationandthedeploymentattributesandvaluesinthischapter,pleaserefertotheconfigurationrequirementsinChapters4-7.
3.1IndoorHotSpot
Thissectionfocusesonthehighuserdensityandthehighcapacity/throughputintheindoorhotspotscenario.ScenariospecificdeploymentattributesandexpectedvaluesarelistedinTable2.
Table2:TheDeploymentAttributesoftheIndoorHotSpotScenario
Attributes
ExpectedValues
CarrierFrequency
Sub6GHzandabove6GHz(around30GHz&70GHz)
AggregatedSystemBandwidth
Sub6GHz:100MHz
Above6GHz(around30GHz&70GHz):800MHz
Sub-CarrierSpacing
eMBB:30kHzforsub6GHz,120kHzforabove6GHz
URLLC:60(30)kHz
CarrierPrefix(CP)Length
2.3usforeMBB;1.2usforURLLC
SlotLength
eMBB:0.5ms(14symbols),0.25ms(7symbols)(Optional:mini-slots)
URLLC:0.125ms
NumberofLayers
1
BSAntenna
Elements
Sub6GHz:upto256TxandRxantennaelements(64or128isrecommended)
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Above6GHz:upto256TxandRxantennaelements(around30GHz&70GHz)
UEAntenna
Elements
Sub6GHz:upto8TxandRxantennaelements(4isrecommended)
Above6GHz:upto32TxandRxantennaelements(around30GHz&70GHz)
UserLocationandSpeed
100%indoor(3km/h)
TrafficType
Thefullbufferornon-full-buffertrafficdependsonthescenario
InterSiteDistance
20metres
3.2DenseUrban
Thissectionfocusesonthehighuserdensityandhightrafficloadsincitycentresintheoutdoorandoutdoor-to-indoorcoveragescenarios.ScenariospecificdeploymentattributesandexpectedvaluesarelistedinTable3.
Table3:TheDeploymentAttributesoftheDenseUrbanAreas
Attributes
ExpectedValues
CarrierFrequency
Sub6GHzandabove6GHz(around30GHz)
AggregatedSystemBandwidth
Sub6GHz:100MHz
Above6GHz(around30GHz):800MHz
Sub-CarrierSpacing
eMBB:30kHzforsub6GHz,120kHzforabove6GHz
URLLC:60(30)kHz
CarrierPrefix(CP)Length
2.3usforeMBB;1.2usforURLLC
SlotLength
eMBB:0.5ms(14symbols),0.25ms(7symbols)(Optional:mini-slots)
URLLC:0.125ms
NumberofLayers
2
BSAntenna
Elements
Sub6GHz:upto256TxandRxantennaelements(64or128isrecommended)
Above6GHz:upto256TxandRxantennaelements(around30GHz)
UEAntenna
Elements
Sub6GHz:upto8TxandRxantennaelements(4isrecommended)
Above6GHz:upto32TxandRxantennaelements(around30GHz)
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UserLocationandSpeed
80%indoor(3km/h)and20%outdoor(30km/h)
TrafficType
Thefullbufferornon-full-buffertrafficdependsonthescenario
InterSiteDistance
200metres
3.3UrbanMacro
Thissectionfocusesonthecontinuouscoverageintheurbanmacroscenario.ScenariospecificdeploymentattributesandexpectedvaluesarelistedinTable4.
Table4:TheDeploymentAttributesoftheUrbanMacroScenario
Attributes
ExpectedValues
CarrierFrequency
Sub6GHzandabove6GHz(around30GHz)
AggregatedSystemBandwidth
Sub6GHz:100MHz
Above6GHz(around30GHz):800MHz
Sub-CarrierSpacing
eMBB:30kHzforsub6GHz,120kHzforabove6GHz
URLLC:60(30)kHz
CarrierPrefix(CP)Length
2.3usforeMBB;1.2usforURLLC
SlotLength
eMBB:0.5ms(14symbols),0.25ms(7symbols)(Optional:mini-slots)
URLLC:0.125ms
NumberofLayers
1
BSAntenna
Elements
Sub6GHz:upto256TxandRxantennaelements(64or128isrecommended)
Above6GHz:upto256TxandRxantennaelements(around30GHz)
UEAntenna
Elements
Sub6GHz:upto8TxandRxantennaelements(4isrecommended)
Above6GHz:upto32TxandRxantennaelements(around30GHz)
UserLocationandSpeed
80%indoor(3km/h)and20%outdoor(30km/h)
TrafficType
Thefullbufferornon-full-buffertrafficdependsonthescenario
InterSiteDistance
500metres
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3.4Rural
Thissectionfocusesonthecontinuouscoverageintheruralarea.ScenariospecificdeploymentattributesandexpectedvaluesarelistedinTable5.
Table5:TheDeploymentAttributesoftheRuralAreas
Attributes
ExpectedValues
CarrierFrequency
Sub6GHz(around4GHz)andsub1GHz
AggregatedSystemBandwidth
Sub6GHz:100MHz
Sub1GHz:20MHz
Sub-CarrierSpacing
eMBB:30kHzforsub6GHz,30(15)kHzforsub1GHz
URLLC:60(30)kHz
CarrierPrefix(CP)Length
2.3usforeMBB;1.2usforURLLC
SlotLength
eMBB:0.5ms(14symbols),0.25ms(7symbols)(Optional:mini-slots)forsub6GHz;0.5msforsub1GHz
URLLC:0.125ms
NumberofLayers
1
BSAntenna
Elements
Sub6GHz:upto256TxandRxantennaelements(64or128isrecommended)
Sub1GHz:upto64TxandRxantennaelements
UEAntenna
Elements
Sub6GHz:upto8TxandRxantennaelements(4isrecommended)
Sub1GHz:upto4TxandRxantennaelements
UserLocationandSpeed
50%indoor(3km/h)and50%outdoor(30km/hto120km/h)
TrafficType
Thefullbufferornon-full-buffertrafficdependsonthescenario
InterSiteDistance
1500metresto5000metres
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4SMARTANDEFFECTIVESYSTEM
4.1ArtificialIntelligence(AI)
4.1.1Radio-Fingerprint-BasedSmartHandover
TheUEhandoverhighlydependsonthemeasurementreport(MR)ofthecellsonneighbourfrequencies.Withtheincreasingnumberofbands,inter-frequency/RAT(radioaccesstechnology)measurementsoftheUEmaycauseamountsofsignallingoverheadsovertheUuinterface,costthemassiveUEpowerconsumption,andseverelyimpactrunningservicesduetothedatainterruptionoftheinter-frequency/RATmeasurementgap.Theinter-frequency/RATmeasurementsalsoleadtotheslowhandoveraswaitingfortheinter-frequency/RATMRfromtheUE.Therefore,howtoenablethefastinter-frequency/RATmeasurementforamoreefficienthandoverbecomesanimportantissue.
Basedonthehistoricalmeasurementresults,theradiofingerprintinformationcanbeexploitedandpredicted,simultaneouslywiththegreathelpforthemulti-bandinter-frequency/RAThandover.Theradiofingerprintiscomposedofmultiplevirtualgrids.Thevirtualgridsarethelogicalunitsofonecell,andconstructedbasedonhistoricalreportsofintra-frequencymeasurementresults(includingthereferencesignalreceivedpower[RSRP]oftheservingcellandtwoneighbourcellswiththestrongestRSRP).Theinter-frequencyinformationstoredinthegridsislearnedfromtheUEinter-frequencymeasurementreports.Withtheinformationofvirtualgrids,suchasthecellIDfortheinter-frequency/RAThandoverandtheDLspectrumefficiency(SE),thesystemcanpredicttheRSRP,theinterference,etc.,ofthetargetcell,aswellaseliminatethehandovermeasurementprocesstoavoidtheinter-frequency/RATmeasurementgapandimprovetheefficiencyoftheinter-frequency/RAThandover.
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Definition
Fortheradio-fingerprint-basedsmarthandover,firstly,basedontheintra-frequencymeasurementinformationoftheUE,theinter-frequency/RATmeasurementinformationoftheUEispredictedbytheradiofingerprint.Thentheinter-frequency/RAThandoverwithoutthegapisperformed.Itsrealisationinvolvestheradiofingerprintconstruction,theradiofingerprintprediction,andthegenerationofthesmartinter-frequency/RAThandoverdecision.
TestingEnvironment
.1TestingSetup
Inthemulti-bandandmulti-cellnetworking,theUEisrandomlydistributed.
Figure2illustratesanexample.ThetestservingcellisCELL1,whileCELL2andCELL4aretheintra-frequencyneighbourcellsofCELL1.CELL3istheinter-frequencyneighbourcellofCELL1.CELL5isa4GneighbourcellofCELL1.
Figure2:TheTestingSetupfortheRadio-Fingerprint-basedSmartHandover
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.2TestingConfiguration
Table6:TheTestingConfigurationfortheRadio-Fingerprint-BasedSmartHandover
Attributes
ExpectedValues
CarrierFrequency
Sub6GHz
Notes
1)ThetestingUEisregisteredandenterstheRRC_IDLEstate.
2)TheUEresidesinCELL1,a5Gcell,whichhastheintra-frequency5Gneighbours(CELL2andCELL4),theinter-frequency5Gneighbour(CELL3),andtheinter-RATneighbour(CELL5).
3)TheradiofingerprintofCELL1hasbeenconstructed.
4)ThetestingUEsupportsthe4GfrequencybandofCELL5,theNRfrequencybandofCELL1,andtheNRfrequencybandofCELL3.
.3TestingProcedures
1.Thesmartinter-frequencyhandover:
1)Turnofftheradio-fingerprint-basedinter-frequencyhandoverfunction.
2)ThetestingUEinitiatestheserviceinCELL1toentertheRRC_CONNECTEDstate.
3)ByadjustingthereferencesignalofCELL1,theUEistriggeredtobehandedoverfromCELL1toCELL3basedontheUEinter-frequencyMR.
4)Repeatstep3)10times.Recordthetotaltimeforthehandoverprocess(fromthetimewhentheservingcellinitiateshandovermeasurementconfigurationtothetimewhenthetargetcellreceivesRRCconnectionreconfigurationcompletion)andtheuserthroughputofULandDLforeachtest.
5)Turnontheradio-fingerprint-basedinter-frequencyhandoverfunction.
6)ThetestingUEinitiatestheserviceinCELL1toentertheRRC_CONNECTEDstate.
7)ByadjustingthereferencesignalofCELL1,theUEistriggeredtobehandedoverfromCELL1toCELL3basedontheradiofingerprintthroughwhichtheUEdoesnotneedtheinter-frequencyMR.
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8)Repeatstep7)10times.Recordthetotaltimeforthehandoverprocess(fromthetimewhentheservingcellinitiatestheRRCconnectionreconfigurationrequesttothetimewhenthetargetcellreceivestheRRCconnectionreconfigurationcompletion)andtheuserthroughputofULandDLforeachtest.
2.Thesmartinter-RAThandover:
1)Turnofftheradio-fingerprint-basedinter-RAThandoverfunction.
2)ThetestingUEinitiatestheserviceinCELL1toentertheRRC_CONNECTEDstate.
3)ByadjustingthereferencesignalofCELL1,theUEistriggeredtobehandedoverfromCELL1toCELL5basedontheUEinter-RATmeasurement.
4)Repeatstep3)10times.Recordthetotaltimeforthehandoverprocess(fromthetimewhentheservingcellinitiateshandovermeasurementconfigurationtothetimewhenthetargetcellreceivesRRCconnectionreconfigurationcompletion)andtheuserthroughputofULandDLforeachtest.
5)Turnontheradio-fingerprint-basedinter-RAThandoverfunction.
6)ThetestingUEinitiatestheserviceinCELL1toentertheRRC_CONNECTEDstate.
7)ByadjustingthereferencesignalofCELL1,theUEistriggeredtobehandedoverfromCELL1toCELL5basedontheradiofingerprintthroughwhichtheUEdoesnotneedtheinter-RATmeasurement.
8)Repeatstep7)10times.Recordthetotaltimeforthehandoverprocess(fromthetimewhentheservingcellinitiatestheRRCconnectionreconfigurationrequesttothetimewhenthetargetcellreceivestheRRCconnectionreconfigurationcompletion)andtheuserthroughputofULandDLforeachtest.
.4SuccessCriteria
1.Afterturningontheradio-fingerprint-basedinter-frequency/RAThandover,theUEcansuccessfullyswitchtothetargetcellwithouttheinter-frequency/RATmeasurement.Servicescontinue.
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2.Afterturningontheradiofingerprint-basedinter-frequency/RAThandoverswitch,thehandoverexecutionisacceleratedwithoutthehandovermeasurement,andthetotaltimeforthehandoverprocessisreduced.
3.Afterturningontheradiofingerprint-basedinter-frequency/RAThandoverswitch,theULandDLuserthroughputaresignificantlyimproved.
ReportingandAnalysingResults
Table7:TheReportingandAnalysingResultsforRadio-Fingerprint-BasedSmartHandover
TurnontheHandoverFunction
TurnofftheHandoverFunction
TheTotalTimefortheHandoverProcess
ULUserThroughput
DLUserThroughput
4.1.2QoEOptimisation
5Gnativevideoapplications,suchashigh-resolutionvideos(e.g.8Kvideo/VR),needthehightransmissionbandwidthandaresensitivetothelatency.Thequalityoftheuserexperience(QoE)ofthehigh-resolutionvideoserviceismorevulnerabletothefluctuationsofthewirelesstransmission,resultinginthevideostreamjitterandmosaic.Traditionalsemi-staticQoSframeworkscannotefficientlysatisfytheQoErequirementsofhigh-resolutionvideoapplications;therefore,AI/ML(machinelearning)solutionsareintroducedtooptimisetheQoE.
Definition
TheAIusecaseoftheQoEoptimisationistoperiodicallypredicttheUEuplinkradiochannelcapacityevery100millisecondsviatheRAN(radioaccessnetwork)intelligentcontroller(RIC).Thepredictionwillbeusedtoindicatethehigh-resolutioncamera'svideostreamingcodecandthegNB(5GNodeB)radioresourceschedulertooptimisetheuserexperienceofhigh-resolutionvideos(toavoidthevideostreamjitter,mosaic,etc.).Firstly,theRICwill
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collectdataofthebasetransceiverstation(BTS)andtheUE(e.g.thecellload),theUEuplinkchannelmeasurementresultssuchastheSINR,etc.,andperformtheuplinkchannelcapacitypredictionbasedonthecollecteddata.Thepredictionresultswillbestoredandfedbackastheinputforthenextprediction.Secondly,whentheRICpredictsthedeteriorationoftheUEuplinkcapacity,basedonthepredictionresults,itguidesthehigh-resolutioncamer
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