Relationshipbetweencommunicationandsensing當(dāng)前通信、感知性能指標(biāo)分立，需構(gòu)建通信感知Communicationandsensingperformancemetricsareseparate,unifiedperformanceanalysismodelsneedtobeconstructedRateforcommunication‘Bound’or‘Degree’forsensing(unitMutualShannonDegreesof

通信感知性能表征指標(biāo)Communication&sensing表征指標(biāo)Communication

AwaitingUnified

SensingRelationshipbetweencommunicationandsensingBasedontheunifiedmetric,weanalyzetheapplicabilityoftime/frequency/spacedivisionbasedcommunication&sensingforvariousscenariosScenariosfortime/frequency/spacebasedcommunication&

Unifiedmetric:（bit/s/Hz）Resourceallocationaccordingto無線Wireless無線WirelessTime多徑

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Affectedbytemporalselectivity Affectedbytemporalselectivity WirelessWireless無人機(jī)通 UAV頻分適合頻分適合感知資源占比：FractionofsensingTimedivision:α;Frequencydivision:β;Spacedivision:

InternetofAffectedbyfrequencyInternetofAffectedbyfrequencyselectivity AffectedbyspatialAffectedbyspatialresolution LiuZ,YangC,PengM.IntegratedSensingandCommunicationsinTerahertzSystems:ATheoreticalPerspective[J].IEEENetwork, TheoreticalbackgroundofwirelesssensingusingcommunicationCommunicationandsensinghavedifferentdesign

Pilotforsensing:Affectbothcom.andsensingReceivedsignalsofGoalofEstimating

EchosignalsofGoalofGiven估計??c中的參數(shù)

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Sensing緊耦TightlyCommunication隨機(jī)性信號通信最優(yōu)隨機(jī)性信號通信最優(yōu)Communicationsrequirestochasticsignal.Sensingrequiresdeterministic確定性信號感知最優(yōu)Thekeyfactorsaffectingsensing Communicationforsensing:Theoryofwirelesssensingbasedonchannelstate挑戰(zhàn)CSITargetparametersarehiddenindynamicpaths,communicationandsensingaretightlycoupledthroughSensingSensingDynamic

通信關(guān)注CSI估計性

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SensingcaresabouttargetparameterscarriedinCSIs

static

Static

DynamicReflectionsfromReflectionsfromstaticobjectssuchasthe

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DecouplecommunicationandsensingperformancefromMaximumfluctuationofthedynamiccomponentfromthemotionoftheobjectStatic

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思路：Idea:Capturethekeyfactorsthataffectsensing傳統(tǒng)雷達(dá)感知

Conventionalradar

Ideal

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Worst-casesensingMotionamplitude Worst-casesensing Detection

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Motion

SensingperformanceboundwithcommunicationperformanceSensingExperimentalPeanutshellExperimentalPeanutshellTheoretical

感知覆蓋面積感知覆蓋面積Sensingcoverage

Worst-caseWorst-caseIdealTransceiverdistance結(jié)論：在保證通信性能約束下存在結(jié)論：在保證通信性能約束下存在Conclusion:ThereexistsanachievablesensingperformanceboundsubjecttocommunicationperformanceCommunicationforsensing:Sensingperformanceanalysisbasedoncooperativecommunication現(xiàn)狀：已析出通信多發(fā)模式與感知多收模式的理論性能增益發(fā)TransmitStatus:Theoreticalperformancegainsofcooperativecommunicationsandcooperativesensinghavebeenrespectively發(fā)TransmitTheoreticalgainTheoreticalgainofcooperativecommunicationusingmulti-transmitter[1]NNTheoreticalgainofcooperativesensingusingmulti-receiverTheoreticalgainofcooperativesensingusingmulti-receiver[2]

MM挑戰(zhàn)：II傳播時延PropagationdelaySynchronization發(fā)Challenge:ISACbasestationsgenerallycooperateusingII傳播時延PropagationdelaySynchronization發(fā)通信I通信II-foldCommunicationSINRPositionuncertaintycausedsynchronization為I維多發(fā)增益Sensingmulti-receivergainconvertedI-foldmulti-transmit

發(fā)Transmit TransmissiondesynchronizationleadstodegradationofsensingSunY,DingZ,DaiX,etal.Ontheapplicationofquasi-degradationtonetworkNOMAindownlinkCoMPsystems[J].IEEETransactionsonWirelessCommunications, ZhangW,ShiC,ZhouJ.Powerminimization-basedjointresourceallocationalgorithmfortargetlocalizationinnoncoherentdistributedMIMOradarsystem[J].IEEESystemsJournal,方法Regardsynchronizationerrorasaparametertobeestimated,explorethejointsynchronizationerrorandposition解耦定位估計與同步誤 給出參數(shù)解耦后協(xié)作感知性能Decouplelocationestimationandsynchronization ObtainthesensingperformanceboundafterdecouplingtheFisherDecouplingofparameterstobeDecouplingofparameterstobeTarget1timedelay 同步誤 SynchronizationTargetPositionestimationbasedonMulti-target多站空域信 多站時頻域信Multi-stationspacedomain Multi-stationtime-frequencydomainlocation error PositionestimationperformanceboundafterparameterUpperandlowerboundsoncooperativelocalizationcapabilityafterfixingsynchronizationSynchronizationerrorestimationandeliminationNonoiseNosynchronization

收斂性能下界PerformancelowerCooperativesensingperformanceboundwithoutfixingsynchronizationConvergeCooperativesensingperformanceboundwithoutfixingsynchronizationLocalizationPerformanceapproachestheupperPerformanceapproachestheupper結(jié)論：修正同步誤差后協(xié)作感知性能不再持續(xù)惡化，結(jié)論：修正同步誤差后協(xié)作感知性能不再持續(xù)惡化，性能下界收斂于Conclusion:Cooperativesensingperformancecanbemaintainedbyfixingthesynchronizationerror,anditapproachesanlowerbounddeterminedbyn

LowerUpper

Synchronizationerror逼近無同步誤差A(yù)pproachesthe逼近無同步誤差A(yù)pproachesthecooperativesensingperformanceassumingnosynchronizationerror

BackgroundofPerformanceAnalysisofSensingforAprioriinformationfromsensingcanimprovecommunicationChannel,CommunicationCommunicationImprovingsensingperformancesmaydegradecommunicationHowtodeterminetheoptimalfractionofsensing

FractionofSensing maxOptimalMaximumOptimalCommunicationCommunicationFractionofsensing Sensingforcommunications:OptimalsensingtimeTime-divisionduplexsystems:Suitableforscenariosofstrongmulti-pathandlow-speedscenarios,inwhichfrequency-selectivefadingcanbeaStatus:Optimalsensingtimefractionofsensingforcommunicationsinsingle-usercasehasbeen增益增益CommunicationresourceSensingtimeSensingTotal最優(yōu)感知時間占比求解OptimizethesensingtimeSensingresourceChallenge:ForK-usercase,optimalsensingtimefractionforsingle-usercaseisnolongerGlobalGlobalSum

用戶1最優(yōu)Optimalforuser

用戶最優(yōu)OptimalforuserCommunicationCommunication

Inter-usertuningindependencedoesnotSensingtimefractionamongusers,_,aretheK用戶速率求 全局最優(yōu)

GlobalnsingResourceSingle-userlocaloptimum≠global

Sum [1]JiangJ,XuM,ZhaoZ,etal.RethinkingtheperformanceofISACsystem:fromefficiencyandutilityperspectives[C]//ACMMobiComWorkshopISACom.HigherachievablerateHigherachievablerate→highercommunication 通信多用戶權(quán)重 感知多用戶權(quán)重UserkUserksensingUserkcommunicationAchievableObtaintheMU-sensingweightsbydecomposingthesumrate.Basedontheweights,furtherobtaintheglobaloptimalBayesianLowersensingaccuracy→highersensingSensingchannelChannel

Multi-usersumweightsofcommunication&sensing, Theoreticalsignificance:Tightlowerboundonoptimalsensingtimefractionofsensingforcommunicationsinmulti-user(Gbps)(Gbps)多用戶最優(yōu) 上

區(qū)間1：區(qū)間2：最優(yōu)點：

,Conclusion:Thereexistsperformanceenhancementzoneofsensingforcommunicationsinmulti-usercase,theoptimalsensingtimefractionisdeterminedbyusers’heterogeneouscommunicationandsensingcapabilities[1]J.Zhang,S.Yanand,Conclusion:Thereexistsperformanceenhancementzoneofsensingforcommunicationsinmulti-usercase,theoptimalsensingtimefractionisdeterminedbyusers’heterogeneouscommunicationandsensingcapabilitiesSensingforcommunication:Optimalsensingspectrum頻分體制：適配高速、弱多徑Frequencydivisionduplexsystems:Suitableforscenariosofhigh-speedandweakmulti-pathscenarios,inwhichtime-selectivefadingcanbeachallengeConsideringtheuseofnarrowbeaminTHzband,howtomanagesensingspectrumresourcestoensurecommunication如何選擇最優(yōu)頻譜配置方案？Howtochoosetheoptimalspectrumallocationscheme?

支持太赫茲窄波束追蹤SupportnarrowbeamtrackinginTHzband通信

THz

Configuringsensing全時域感知應(yīng)對 Addressingpoortemporalusingfulltimedomain

frequencydivision

感知占比Sensingrati

BandwidthforTotalsystem

THz

MaximumcommunicationSensingforcommunication:OptimalsensingspectrumConsideringmobilebeamtracking,quantifythesensingentropy,andanalyzesensing→mobility→communicationSensing→Mobility:Sensingisconsideredasanentropyreduction

Mobility→Communication:CharacterizationofmobileinformationOriginalangle

Alignmentdeviationlower

Reflectioncross

BeamgainupperAngleestimation

Coordinate

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Closed-formexpressionfortheperformancesofcommunication&sensing

RestraintRestraintEnhancementNormalizedsensing Sensingforcommunication:OptimalsensingspectrumSignificance:AcapacityupperboundonbeamtrackinginTHzFDD移動下測角協(xié)同的通信容量上界模通信數(shù)據(jù)速率CommunicationdatarateUpperboundoncommunicationcapacityofmobilesystems通信數(shù)據(jù)速率CommunicationdatarateFittingTheoreticalSensing-free

SensingSensingOptimalbeamtrackingassistedbyangle

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Bandwidthallocatedforsensingisdeterminedbyusers OptimalspectrumallocationforbeamtrackinginTHzFDD[1]LiuZ,YangC,SunY,PengM.Closed-FormModelforPerformanceAnalysisofTHzJointRadarCommunicationSystems[J].IEEETransactionsonWireless Sensingforcommunication:Sensing-assistedbeam空分Spacedivisionduplexsystems:Suitableforscenariosofstrongmulti-pathscenarios,inwhichbeamformingtechniquescanbeusedtoaddressthefrequencyselectivenessPerfectTraditional

部分信道狀態(tài)信息PartialActual

Frequency

CarrierReceiveAir-portbeam

FrequencyHighspectrum

LowspectrumChallenges:BeamforminginTHzbandsuffersfromdispersioneffect,makingconventionalbeamformingschemesdesignedforfrequencybandlessY.Chen,etal.,“HybridprecodingforwidebandmillimeterwaveMIMOsystemsinthefaceofbeamsquint,”IEEETrans.WirelessCommun.,vol.20,no.3,pp.1847–1860, 思路：感知丟失角頻信息，補(bǔ)償非完備的信道狀態(tài)信息Idea:SenselostangleandfrequencyinformationtocompensatethepartialLostLostchannelCSIofthereceivedChannelCompensatedLostfReceivedSensingangleandfrequency[1B(k1K1)]Receivedbeambefore

ReceivedbeamafterBeamat1(丟失

BeamBeam

Beamat k(

Beam頻譜效率提升50%Spectrumefficiency[1]WangY,YangC,RenZ,etal.Sensing-AidedHybridPrecodingforEfficientTerahertzWidebandCommunicationsinMulti-UserHigh-Data-RateIoT[J].IEEEInternetofThingsJournal,2023.挑戰(zhàn)：Challenges:Angularvelocitysensingisthekeyofcooperativebeamtracking,theperformanceofwhichisincommunication

Single-BSsensingenabledbynarrowbeaminTHzExistingangularvelocitysensing

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Receivedsignal

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Beamgain

Beam

TangentialSensingforSensingforcommunication:Sensing-assistedbeam

Sensingforcommunication:Sensing-assistedbeam思路：leveragethetime/spacefeaturesinreceivedsignalsandconstructa4Dparametersensingmodelofthe1Jointlyconsidersamplingandterahertzbeamcharacteristics,analyzethe4Dparameters:distance,azimuth,radialvelocity,andangular時域采 空域采Temporal SpatialBeamConstructCRBmodelfordistance-azimuth-radialvelocity-

AngularEstimateEstimatevelocityRadialAngular

(M)

Radial4DparameterRatiobetweencommunicationand Theoreticalsignificance:Capacityimprovesmostprofoundlyinthecasesofbeamtrackingassistedbyazimuthangle+angularvelocitysensingCommunicationConstructingvariancemodelforsensingcooperativecommunication,constrainingsensingcooperativebeamCommunicationWithoutWithazimuthangleWithazimuthangle+angularvelocityunbiased

保持穩(wěn)定StabilizedDecreasesDecreaseswithincreasedangularWithazimuthangle+angularvelocityWithazimuthangleWithoutAngularLiuZ,YangC,PengM.Terahertz-bandSensing-assistedMobileCommunications:AFrameworkBasedonAngularVelocityEsti