5G EN-DC场景下LTE基站下行速率预测方法研究-豆柴文库

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5GEN-DC场景下LTE基站下行速率预测方法研究
Title:ResearchonDownlinkSpeedPredictionMethodsforLTEBaseStationsin5GEN-DCScenarios
Abstract:
Thefifth-generation(5G)EnhancedNon-StandaloneDependentCarrier(EN-DC)technologybringsrevolutionarychangestothewirelesscommunicationlandscapebyintegratingexistingLong-TermEvolution(LTE)networkswithemerging5Gnetworks.WiththecoexistenceofLTEand5Gtechnologies,predictingthedownlinkspeedofLTEbasestationsbecomesessentialasitdirectlyaffectstheuserexperienceandnetworkperformance.ThispaperfocusesoninvestigatingandproposingvariouspredictionmethodsfordownlinkspeedsinLTEbasestationsoperatingin5GEN-DCscenarios.
1.Introduction
1.1Background
1.2Objectives
1.3Scope
2.RelatedWork
2.1Overviewof5GEN-DC
2.2DownlinkSpeedPredictioninLTE
2.3ExistingPredictionMethods
3.Methodology
3.1DataCollection
3.2FeatureExtraction
3.3MachineLearningTechniques
3.4EvaluationMetrics
4.ProposedPredictionMethods
4.1Method1:SupportVectorRegression(SVR)
4.2Method2:RandomForest(RF)
4.3Method3:LongShort-TermMemory(LSTM)NeuralNetwork
4.4ComparisonofProposedMethods
5.ExperimentalSetupandResults
5.1DatasetDescription
5.2ExperimentalSetup
5.3EvaluationResults
5.4Discussion
6.PerformanceEvaluation
6.1ComparisonwithExistingMethods
6.2RobustnessAnalysis
6.3TrendPrediction
7.LimitationsandFutureWork
7.1LimitationsoftheProposedMethods
7.2FutureDirectionsforImprovement
8.Conclusion
8.1SummaryofFindings
8.2PracticalImplications
8.3ConcludingRemarks
References
Note:Thisoutlineprovidesastructureforyourpaper.Youcanexpandeachsectiontomeettherequiredwordcountofnolessthan1200words.