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一种5G密集型组网的分布式多天线校正方法
Title:ADistributedMulti-AntennaCalibrationMethodfor5GDenseNetworks
Abstract:
Asthedemandforhigherdataratesandimprovednetworkperformancecontinuestogrow,5Gtechnologyhasevolvedtoprovidefasterandmorereliablewirelesscommunicationservices.Onekeyaspectof5Gnetworksistheuseofdensedeploymentswithmulti-antennasystems.However,theperformanceofthesesystemsisheavilydependentonaccuratecalibration.Therefore,thispaperpresentsadistributedmulti-antennacalibrationmethodfor5Gdensenetworks.
1.Introduction:
Withtheincreasingpopularityofbandwidth-intensiveapplicationsandtheInternetofThings(IoT),thereisaneedfor5Gnetworkstoprovideseamlessconnectivityandrobustperformance.Densenetworkdeploymentsutilizingmultipleantennasplayavitalroleinmeetingthesedemands.However,propercalibrationoftheseantennasiscrucialtoachievingoptimumperformance.Thispaperaimstopresentadistributedmulti-antennacalibrationmethodtoimprovetheaccuracyandefficiencyofcalibrationprocedures.
2.Background:
2.15GDenseNetworks:
Densenetworksconsistofalargenumberofaccesspoints(APs)withmulti-antennasystems,allowingforhigherdatarates,increasedcoverage,andimproveduserexperience.EachAPinadensenetworkmayhavemultipleantennas,enablingadvancedtechniquessuchasbeamformingandinterferencecancellation.
2.2AntennaCalibration:
Antennacalibrationisacriticalaspectofmulti-antennasystemsasitensurestheaccuratealignmentofantennaelementstomaximizesystemperformance.Calibrationinvolvescompensatingforanydeviationsinhardwareorenvironmentalfactorsthatcanaffectsignalquality.
3.DistributedMulti-AntennaCalibrationMethod:
3.1ProblemFormulation:
Indensenetworks,traditionalcentralizedcalibrationmethodscanbetime-consuming,resource-intensive,andpronetoerrorduetothelargenumberofAPs.Toaddressthesechallenges,adistributedcalibrationmethodisproposed,whereeachAPperformsself-calibrationbasedonneighboringAPs'measurements.
3.2CalibrationProcedure:
Theproposedmethodstartswithapreliminarycalibrationstep,whereeachAPestimatesitsowncalibrationparametersusingtheknown