2024通信感知一体化性能分析：竞争还是协同？

彭木根MugenPeng 北京邮电大学BeijingUniversityofPostsandTelecommunications 2024.04 整体框架：通信感知性能关系（1/2)Relationshipbetweencommunicationandsensingperformances q当前通信、感知性能指标分立，需构建通信感知一体化指标及其模型Communicationandsensingperformancemetricsareseparate,unifiedperformance analysismodelsneedtobeconstructed Ø通信感知性能表征指标Communication&sensingmetrics 整体框架：通信感知性能关系（2/2)Relationshipbetweencommunicationandsensingperformances q面向多样化场景特性，基于一体化指标分析时/频/空分通信感知的适用性Basedontheunifiedmetric,weanalyzetheapplicabilityoftime/frequency/spacedivisionbased communication&sensingforvariousscenarios [1]LiuZ,YangC,PengM.IntegratedSensingandCommunicationsinTerahertzSystems:ATheoreticalPerspective[J].IEEENetwork,2023.[2]杨闯,刘子乐,石涵琛,彭木根.太赫兹多天线移动通信性能界理论[J].无线电通信技术,2023. 利用通信信号进行无线感知的理论：背景Theoreticalbackgroundofwirelesssensingusingcommunicationsignals q通信与感知的目标不同Communicationandsensinghavedifferentdesigngoals p通信导频用作感知：同时影响通感性能Pilotforsensing:Affectbothcom.andsensingperformance 通进行感：基于信道状态信息的无线感知理论（1/3）Communicationforsensing:Theoryofwirelesssensingbasedonchannelstateinformation q挑战：目标参数隐藏在动态路径中，通信感知通过CSI紧密耦合Targetparametersarehiddenindynamicpaths,communicationandsensingaretightlycoupledthroughCSI TightlycoupledcommunicationandsensingperformancesCommunicationscareaboutCSIestimationaccuracy 解耦CSI中通信和感知性能 Idea:ExtractdynamiccomponentsusingFresnelzonemodel DecouplecommunicationandsensingperformancefromCSI 通进行感：基于信道状态信息的无线感知理论（2/3）Communicationforsensing:Theoryofwirelesssensingbasedonchannelstateinformation q思路：剥离出影响感知性能的关键因素Idea:Capturethekeyfactorsthataffectsensingperformance Ø传统雷达感知 [1]Conventionalradarsensing [1] Ø运动特性Motioncharacteristic 理想情况Idealcase 最差情况Worstcase Ø理想情况感知性能3Idealsensingperformance Ø最差情况感知性能 目标特性&系统参数 Targetcharacteristics&systemparameters 通进行感：基于信道状态信息的无线感知理论（3/3）Communicationforsensing:Theoryofwirelesssensingbasedonchannelstateinformation q意义：揭示利用通信信号进行感知覆盖范围性能极限Revealingtheperformanceboundofsensingcoveragerangeusingcommunicationsignals 通进行感：基于协作通信信号的感知性能分析（1/3）Communicationforsensing:Sensingperformanceanalysisbasedoncooperativecommunicationsignal q现状：已析出通信多发模式与感知多收模式的理论性能增益[1][2]Status:Theoreticalperformancegainsofcooperativecommunicationsandcooperativesensinghavebeenrespectivelyobtained 发同步误差导致的q挑战：通感一体化基站协作为多发模式，同步误差导致感知性能恶化Challenge:ISACbasestationsgenerallycooperateusingmulti-transmittermode,leadingtosynchronizationerrorsanddegradationinperformancesTransmit [1]SunY,DingZ,DaiX,etal.Ontheapplicationofquasi-degradationtonetworkNOMAindownlinkCoMPsystems[J].IEEETransactionsonWirelessCommunications,2023.[2]ZhangW,ShiC,ZhouJ.Powerminimization-basedjointresourceallocationalgorithmfortargetlocalizationinnoncoherentdistributedMIMOradarsystem[J].IEEESystemsJournal,2022.Transmissiondesynchronizationleadstodegradationofsensingperformance 通进行感：基于协作通信信号的感知性能分析（2/3）Communicationforsensing:Sensingperformanceanalysisbasedoncooperativecommunicationsignal q方法：同步误差作为待估参数，探索同步误差-位置信息联合估计理论Regardsynchronizationerrorasaparametertobeestimated,explorethejointsynchronizationerrorandpositionestimation 通进行感：基于协作通信信号的感知性能分析（3/3）Communicationforsensing:Sensingperformanceanalysisbasedoncooperativecommunicationsignal q给出同步误差修正后可达协作感知定位能力的上界与下界Upperandlowerboundsoncooperativelocalizationcapabilityafterfixingsynchronizationerror 感知协同通信性能分析：背景BackgroundofPerformanceAnalysisofSensingforCommunications q感知获得先验信息可协同提升通信性能 Aprioriinformationfromsensingcanimprovecommunicationperformances 感协同通：最优时分感知占比性能分析（1/3）Sensingforcommunications:Optimalsensingtimefraction p时分体制：适配强多径、低速场景，应对多径场景频域相关性差难题Time-divisionduplexsystems:Suitableforscenariosofstrongmulti-pathandlow-speedscenarios,inwhichfrequency-selectivefadingcanbeachallenge Ø现状：已析出单用户下感知协同通信理论性能，揭示最优感知占比[1]Status:Optimalsensingtimefractionofsensingfor communicationsinsingle-usercasehasbeenobtained. q挑战：用户数从1到K，单用户最优占比不能获得全局最优性能Challenge:ForK-usercase,optimalsensingtimefractionforsingle-usercaseisnolongeroptimal K用户速率求和Sumrate 单用户局部最优不代表全局最优Single-userlocaloptimum≠globaloptimum [1]JiangJ,XuM,ZhaoZ,etal.RethinkingtheperformanceofISACsystem:fromefficiencyandutilityperspectives[C]//ACMMobiComWorkshopISACom.2022. 感协同通：最优时分感知占比性能分析（2/3）Sensingforcommunications:Optimalsensingtimefraction q思路：和速率解耦多用户通感权重，加权累加获得全局最优边界 感协同通：最优时分感知占比性能分析（3/3）Sensingforcommunications:Optimalsensingtimefraction q给出多用户感知协同通信中最优感知时间占比紧下界Theoreticalsignificance:Tightlowerboundonoptimalsensingtimefractionofsensingforcommunicationsinmulti-usercase 通感知资源能够 Ø传统单用户最优感知占比点上界 配比因子上界与传统单用户模式一致 结论：感知协同通信存在性能提升区间,最优时间占比取决于多用户通感可达能力差异Conclusion:Thereexistsperformanceenhancementzoneofsensingforcommunicationsinmulti-usercase,theoptimalsensingtimefractionis determinedbyusers’heterogeneouscommunicationandsensingcapabilities[1]J.Zhang,S.YanandM.Peng,“JointBeamAlignmentandResourceAllocationforMulti-UserMmwaveIntegratedSensingandCommunicationSystems,”inIEEETVT,doi:10.1109/TVT.2023.3332283. 感协同通：最优频分感知占比性能分析（1/3）Sensingforcommunication:Optimalsensingspectrumallocation q频分体制：适配高速、弱多径场景，应对高速场景时域相关性差难题Frequencydivisionduple