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基于非稳定性的5G大规模MIMO信道建模（英文）.docx

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基于非稳定性的5G大规模MIMO信道建模（英文） Title:ChannelModelingforLarge-ScaleMIMOin5Gnetworks:BasedonNon-stationarity Abstract: Thedeploymentoflarge-scalemultiple-inputmultiple-output(MIMO)in5Gnetworkshasemergedasapromisingsolutionforachievinghighdatarates,increasedspectralefficiency,andenhancedcoverage.However,accuratemodelingofthewirelesschanneliscrucialforthedesignandoptimizationoflarge-scaleMIMOsystems.Thispaperfocusesonchannelmodelingforlarge-scaleMIMOin5Gnetworks,specificallyconsideringthenon-stationarityofthewirelesschannel. Introduction: Thefifth-generation(5G)wirelessnetworksareexpectedtosupportawiderangeofapplications,suchasInternetofThings(IoT),autonomousvehicles,virtualreality,andultra-high-definitionvideostreaming.Tomeetthedemandingrequirementsoftheseapplications,5Gnetworksincorporatepromisingtechnologies,suchasmassiveMIMO,mmWavecommunications,andnetworkdensification.Amongthese,large-scaleMIMOrepresentsakeyenablerforachievingthedesiredperformanceimprovements. Non-stationarityinChannelModeling: Wirelesschannelsin5Gnetworksarehighlydynamicandtime-varying,whichchallengestheaccuracyofchannelmodeling.Thenon-stationarityofthechannelreferstothefactthatthestatisticalpropertiesofthechannelvaryovertime,duetovariousfactorssuchasthemovementofusers,environmentalconditions,andinterference.Modelingthenon-stationarityaccuratelybecomescrucialtocapturechannelcharacteristicsanddesignrobustlarge-scaleMIMOsystems. ChannelModelingTechniques: Severaltechniqueshavebeenproposedtomodelthenon-stationarityof5Gwirelesschannelsforlarge-scaleMIMO.Thesetechniquesinclude: 1.Time-varyingchannelmodels:Time-varyingchannelmodelscapturethetemporalvariationsofthewirelesschannelbymodelingthechannelasafunctionoftime.Variousapproaches,suchasraytracing,geometricstochasticchannelmodels,andautoregressivemodels,havebeenproposedtorepresentthechannel'stemporalvariationsaccurately. 2.Spatialchannelmodeling:Large-scaleMIMOsystemsutilizemultipleantennasatboththetransmitterandreceiversides.Spatialchannelmodelingconsiders