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深度学习通信领域相关经典论文、数据集整理分享

本文资源整理自网络 ， 源地址：https://github.com/IIT-Lab/Paper-with-Code-of-Wireless-communication-Based-on-DL
论文列表
DeepLearningforSVDandHybridBeamforming
NeuralMutualInformationEstimationforChannelCoding:State-of-the-ArtEstimators,Analysis,andPerformanceComparison
DeepTransferLearningBasedDownlinkChannelPredictionforFDDMassiveMIMOSystems
ChannelEstimationforOne-BitMultiuserMassiveMIMOUsingConditionalGAN
AModel-DrivenDeepLearningMethodforNormalizedMin-SumLDPCDecoding
Complex-ValuedConvolutionsforModulationRecognitionusingDeepLearning
EnablingLargeIntelligentSurfaceswithCompressiveSensingandDeepLearning
Wirelesslinkadaptation-ahybriddata-drivenandmodel-basedapproac
hDeepunfoldingoftheweightedMMSEalgorithm
LearntoCompressCSIandAllocateResourcesinVehicularNetworks
BenchmarkingEnd-to-endLearningofMIMOPhysical-LayerCommunication
LearnedConjugateGradientDescentNetworkforMassiveMIMODetection
TrainableProjectedGradientDetectorforMassiveOverloadedMIMOChannels:Data-drivenTuningApproac
hDeepSoftInterferenceCancellationforMIMODetection
ReinforcementLearningBasedSchedulingAlgorithmforOptimizingAgeofInformationinUltraReliableLowLatencyNetworks
Decoder-in-the-Loop:GeneticOptimization-basedLDPCCodeDesign
MaMIMOCSI-basedpositioningusingCNNs:Peekinginsidetheblackbox
LearningCombinatorialOptimizationAlgorithmsoverGraphs
ExtendingtheRISC-VISAforEfficientRNN-based5GRadioResourceManagement
PowerAllocationinMulti-userCellularNetworksWithDeepQLearningApproac
hPowerAllocationinMulti-UserCellularNetworks:DeepReinforcementLearningApproaches
FederatedLearningoverWirelessNetworks:ConvergenceAnalysisandResourceAllocation
FederatedLearningoverWirelessNetworks:OptimizationModelDesignandAnalysis
Deeplearningbasedend-to-endwirelesscommunicationsystemswithconditionalGANasunknownchannel
IntelligentResourceAllocationinWirelessCommunicationsSystems
Spatio-TemporalRepresentationwithDeepRecurrentNetworkinMIMOCSIFeedback
NeuralNetworkAidedSCDecoderforPolarCodes
ExploitingBi-DirectionalChannelReciprocityinDeepLearningforLowRateMassiveMIMOCSIFeedback
PerformanceEvaluationofChannelDecodingWithDeepNeuralNetworks
LearningtheMMSEChannelEstimator
DeepDeterministicPolicyGradient(DDPG)-BasedEnergyHarvestingWirelessCommunications
Model-AwareDeepArchitecturesforOne-BitCompressiveVariationalAutoencoding
CSI-basedPositioninginMassiveMIMOsystemsusingConvolutionalNeuralNetworks
DeepLearningformmWaveBeamandBlockagePredictionUsingSub-6GHzChannels
DeepLearningforChannelCodingviaNeuralMutualInformationEstimation
DeepLearningfortheGaussianWiretapChannel
Multi-resolutionCSIFeedbackwithdeeplearninginMassiveMIMOSystem
Deep-ReinforcementLearningMultipleAccessforHeterogeneousWirelessNetworks
Mobility-AwareCentralizedReinforcementLearningforDynamicResourceAllocationinHetNets
DeepLearningforDirectHybridPrecodinginMillimeterWaveMassiveMIMOSystems
DeepLearning-BasedDetectorforOFDM-IM
Meta-LearningtoCommunicate:FastEnd-to-EndTrainingforFadingChannels
LearningtoCommunicateinaNoisyEnvironment
Low-rankmmWaveMIMOchannelestimationinone-bitreceivers
DeepLearningforMassiveMIMOwith1-BitADCs:WhenMoreAntennasNeedFewerPilots
ns-3meetsOpenAIGym:ThePlaygroundforMachineLearninginNetworkingResearc
hTurboAutoencoder:Deeplearningbasedchannelcodeforpoint-to-pointcommunicationchannels
CommunicationAlgorithmsviaDeepLearning
TowardsOptimalPowerControlviaEnsemblingDeepNeuralNetworks
Low-PrecisionNeuralNetworkDecodingofPolarCodes
AGraphNeuralNetworkApproachforScalableWirelessPowerControl
CNN-basedPrecoderandCombinerDesigninmmWaveMIMOSystems
SequentialConvolutionalRecurrentNeuralNetworksforFastAutomaticModulationClassification
AnOpen-SourceFrameworkforAdaptiveTrafficSignalControl
ACNN-BasedEnd-to-EndLearningFrameworkTowardsIntelligentCommunicationSystems
ReinforcementLearningforChannelCoding:LearnedBit-FlippingDecoding
AdaptiveNeuralSignalDetectionforMassiveMIMO
DeepReinforcementLearningforDynamicMultichannelAccessinWirelessNetworks
Q-LearningAlgorithmforVoLTEClosed-LoopPowerControlinIndoorSmallCells
Spectrumsharinginvehicularnetworksbasedonmulti-agentreinforcementlearning
DeepLearningModelsforWirelessSignalClassificationWithDistributedLow-CostSpectrumSensors
LearningPhysical-LayerCommunicationwithQuantizedFeedback
DecentralizedSchedulingforCooperativeLocalizationwithDeepReinforcementLearning
DeepReinforcementLearningforDynamicMultichannelAccessinWirelessNetworks
MIST:ANovelTrainingStrategyforLow-latencyScalableNeuralNetDecoders
DeepUL2DL:ChannelKnowledgeTransferfromUplinktoDownlink
DeepLearningforTDDandFDDMassiveMIMO:MappingChannelsinSpaceandFrequency
MachineLearningmeetsStochasticGeometry:DeterminantalSubsetSelectionforWirelessNetworks
LearningBasedPowerControlformmWaveMassiveMIMOagainstJamming
SparselyConnectedNeuralNetworkforMassiveMIMODetection
PowerAllocationinMulti-CellNetworksUsingDeepReinforcementLearningg
DeepLearninginDownlinkCoordinatedMultipointinNewRadioHeterogeneousNetworks
DeepReinforcementLearningforResourceAllocationinV2VCommunications
RF-basedDirectionFindingofUAVsUsingDNN
Deepcode:FeedbackCodesviaDeepLearning
PhysicalAdversarialAttacksAgainstEnd-to-EndAutoencoderCommunicationSystems
AIF:AnArtificialIntelligenceFrameworkforSmartWirelessNetworkManagement
Deep-Learning-Power-Allocation-in-Massive-MIMO
DeepMIMO:AGenericDeepLearningDatasetforMillimeterWaveandMassiveMIMOApplications
FastDeepLearningforAutomaticModulationClassification
DeepLearning-BasedChannelEstimation
TransmitPowerControlUsingDeepNeuralNetworkforUnderlayDevice-to-DeviceCommunication
Deeplearning-basedchannelestimationforbeamspacemmWavemassiveMIMOsystems
Spatialdeeplearningforwirelessscheduling
DecentralizedComputationOffloadingforMulti-UserMobileEdgeComputing:ADeepReinforcementLearningApproac
hAdeep-reinforcementlearningapproachforsoftware-definednetworkingroutingoptimization
Q-LearningAlgorithmforVoLTEClosed-LoopPowerControlinIndoorSmallCells
DeepLearningforOptimalEnergy-EfficientPowerControlinWirelessInterferenceNetworks
Actor-Critic-BasedResourceAllocationforMulti-modalOpticalNetworks
DeepMIMODetection
LearningtoDetect
AniterativeBP-CNNarchitectureforchanneldecoding
OnDeepLearning-BasedChannelDecoding
DELMU:ADeepLearningApproachtoMaximisingtheUtilityofVirtualisedMillimetre-WaveBackhauls
DeepQ-LearningforSelf-OrganizingNetworksFaultManagementandRadioPerformanceImprovement
AnIntroductiontoDeepLearningforthePhysicalLayer
ConvolutionalRadioModulationRecognitionNetworks
Deep-Waveform:ALearnedOFDMReceiverBasedonDeepComplexConvolutionalNetworks
JointTransceiverOptimizationforWirelessCommunicationPHYwithConvolutionalNeuralNetwork
DeepLearningforMassiveMIMOCSIFeedback
BeamformingDesignforLarge-ScaleAntennaArraysUsingDeepLearning
5GMIMODataforMachineLearning:ApplicationtoBeam-SelectionusingDeepLearning
Deepmulti-userreinforcementlearningfordynamicspectrumaccessinmultichannelwirelessnetworks
DeepNap:Data-DrivenBaseStationSleepingOperationsthroughDeepReinforcementLearning
AutomaticModulationClassification:ADeepLearningEnabledApproac
hDeepArchitecturesforModulationRecognition
EnergyEfficiencyinReinforcementLearningforWirelessSensorNetworks
Learningtooptimize:Trainingdeepneuralnetworksforwirelessresourcemanagement
ImplicationsofDecentralizedQ-learningResourceAllocationinWirelessNetworks
PowerofDeepLearningforChannelEstimationandSignalDetectioninOFDMSystems
数据集
MASSIVEMIMOCSIMEASUREMENTS
SM-CsiNet+andPM-CsiNet+:来自论文ConvolutionalNeuralNetworkbasedMultiple-RateCompressiveSensingforMassiveMIMOCSIFeedback:Design,Simulation,andAnalysis
Anopenonlinerealmodulateddataset:来自论文DeepLearningforSignalDemodulationinPhysicalLayerWirelessCommunications:PrototypePlatform,OpenDataset,andAnalytics 。
Tothebestofourknowledge,thisisthefirstopendatasetofrealmodulatedsignalsforwirelesscommunicationsystems.
RFDATASETSFORMACHINELEARNING
【深度学习通信领域相关经典论文、数据集整理分享】opendatase:来自论文SignalDemodulationWithMachineLearningMethodsforPhysicalLayerVisibleLightCommunications:PrototypePlatform,OpenDataset,andAlgorithms


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