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高速铁路掉话优化切换方案仿真.docx

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高速铁路掉话优化切换方案仿真 Title:OptimizationandSimulationofHandoverforDroppingCallsinHigh-SpeedRailways Abstract: High-speedrailwaysarewidelyknownfortheirefficiencyandspeedintransportation.However,thecontinuousmovementoftrainsatsuchhighspeedsposesnumerouschallengestomaintainingseamlesscommunicationservicesforpassengers.Oneofthecriticalissuesfacedinhigh-speedrailwaynetworksistheoccurrenceofdroppedcallsduringhandoveroperations.Thispaperaimstoproposeandsimulateanoptimizedhandoverschemetominimizedroppedcallsandenhancetheoverallcommunicationexperienceinhigh-speedrailways. 1.Introduction High-speedrailsystemsrequirerobustandreliablecommunicationnetworkstosupportvariousservices,includingvoicecalls,datatransmission,andinternetconnectivity.Duetotherapidmovementoftrains,frequenthandoversbetweenbasestationsbecomenecessaryforuninterruptedcommunication.However,handoverproceduresinhigh-speedrailwayenvironmentsoftenresultindroppedcallsduetovariousfactorssuchassignalattenuation,interference,andinsufficienthandoveralgorithms.Thispaperfocusesonexploringanoptimizedhandoverschemetomitigatethesechallenges. 2.RelatedWork Previousstudieshaveaddressedtheissueofdroppedcallsinmobilecommunicationnetworks,butthereislimitedresearchspecificallytargetinghigh-speedrailwayenvironments.Themostcommonapproachesinvolvesignalstrengthprediction,adaptivehandoverthresholds,andintelligenthandoverdecision-makingalgorithms.However,thesemethodsarenotsufficienttocopewiththeuniquechallengesposedbyhigh-speedtrainmovements.Thispaperaimstoproposeanovelhandoverschemethattakesintoaccountthedynamicnatureofhigh-speedtraincommunication. 3.ProposedHandoverScheme Theproposedhandoverschemeconsistsofseveralkeycomponents: 3.1.PredictionModels:Wedeveloppredictionmodelsbasedonhistoricaldataandreal-timemeasurementstoestimatethesignalstrengthandqualityatthetargetbasestationduringthehandoverprocess.Thesemodelsconsiderfactorssuchastrainspeed,distancetothetargetbasestation,andenvironmentalconditionstomakeaccuratepredictions. 3.2.HandoverAlgor