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AntennaSelectionforMassiveMIMOSupervisor:DrTongJunSpeaker:TianqiGao4515742ECTE953AdvancedProjectcontent1.Introduction2.MIMOwirelesscommunicationsystembasis3.Analysisofantennaselection4.Conclusion5.Futurework1.IntroductionMultipleInputMultipleOutput(MIMO)communicationstechnology,withmulti-antennatechnologyandspace-timeprocessing,providesanewwaytosolvethecommunicationproblem.2.MIMOwirelesscommunicationbasis2.1Systemmodel2.2TechniqueofAntennaSelectionSystemReceivingofdiversitysystem•Diversitytechnique•HighestSNR•MaximalRatioCombining•EqualGainCombiningReceivingantennaselectionMaximalEnvelopeValueSpaceDivisionMultiplexingSpaceDivisionMultiplexingcouldmadethesamefrequencybandwidthreusedindifferentspaces.Itcanincreasespectralefficiencywithoutincreasingbandwidthofsystem.3.1MIMOreceiveantennaselectionsystemmodel3.Analysisofantennaselection3.2ClassicalgorithmTheoptimalantennaselectionalgorithmAntennaselectionalgorithmbasedonnormSelectionalgorithmbaseonassociatedantennaIncrementalandDecrementantennaselectionalgorithmTheoptimalantennaselectionalgorithmThemainpurposeofoptimalalgorithmisindividuallyselectingsamplesbyexhaustivesearchmethodtoselectthereceivingportwhichenableschannelcapacitytoachievemaximumantennacombinationasareceivingantenna.Thebiggestdrawbackofthealgorithmisthecomputationalcomplexityisveryhigh.AntennaselectionalgorithmbasedonnormThebasicideaofantennaselectionalgorithmbasedonnormisthatselectinganmaximumpowerantennatoreceive.ItiscomputingFnormforeachrowofchannelmatrixHinMIMOsystem,wherethefirstLlargestnormvaluecorrespondingrow/columnistheselectedantenna.SelectionalgorithmbaseonassociatedantennaTheadvantageisnoneedtoknowthesignaltonoiseratioofreceivingport,andthecomputationalcomplexityislowThedisadvantageisthechannelcapacitycalculatedbythisalgorithmisquitedifferentwithoptimalalgorithm,sothatthepracticalvalueisrelativelylow.IncrementalandDecrementantennaselectionalgorithmIncrementalalgorithmisloopingLtimes,eachtimeselectingamaximumcontributiontothechannelcapacityoftheantennauntiltheantennaselected;DecrementalgorithmisloopingN-Ltimes,eachtimeremoveonepairofthesmallestcontributionantennas,thentheremainingantennasarethelargestcontributiontochannelcapacity.Advantage:Itcangreatlyreducethecomputationalcomplexitywhenthecapacitylossissmall.3.3ThelimitedadaptiveMCMCalgorithmMaximizingsystemcapacityorminimizingthebiterrorrateByanalyzingtheperformanceinthecaseofthecontrolparametersofthesystembyusingalgorithm,thesystem‘schannelcapacityandbiterrorrateareveryclosetotheESalgorithm.3.4SimulationCapacityat50%interruptrateofthesystemsystemoutagecapacitywhenSNRis20dB4.ConclusionThisisonlyapreliminarystudyoftheantennaselection,andtherearemanyunresolvedproblemsaboutMIMOantennaselectioninfact.Thecombinationofdiversitytechniquesandspacedivisionmultiplexingtechniquescanincreasethetransmitpowerofsystem,reducethecomplexityofsystemandreducethecost.5.FutureworkMultipathfadingandbandwidthefficiencyarestilltheseverechallengeforthefuturewirelesscommunicationsystem.Thecurrentchannelmodelisquitesimple,andactualtransmitenvironmentisexistingseriousmultipathfading.Theencodingattransmittingportmayaffecttheperformanceofantennaselection.Questions?