国际会议演讲话稿

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1、自我介绍Thankyou：Mn/Ms.Chain/professorMynameissangqian.Iamveryhonoredtobeheretodooralpresentation

2、(external/ckstsrnol;ikstomsl/)内容安排：Mypresentationincludesthesefiveparts.First,somebackgroundinformationaboutthisresearch;Second,systemmodelwehavedone;Third,NN-basedrelayselectionschemewehaveproposedForth,SimulationandresultsanalysisAndlast,someconclusionswehavegotP4Partone,i

3、ntroductionFirstly,IwouldliketogiveyouabitofbackgroundsDifferingfromthetraditionalcryptographictechniquesbasedonsecretkeys,wecanmakeuseofwirelesschannelcharacteristicstoenhancephysicallayersecurity・Cooperativecommunicationhasbeenwidelyrecognizedasaneffectivewaytocombatwirele

4、ssfadingandprovidediversitygainwhichisoneoftheresearchhotspots・Machinelearningasanemergingtechnologyhasbeenwidelyappliedinimageprocessing,cancerprediction,stockanalysisandotherfields.Sowhynottryitinwirelesscommunication?P5:Next,IwanttotalkalittlebitaboutpresentstudyRecentstu

5、diesondeeplearningforwirelesscommunicationsystemshaveproposedalternativeapproachestoenhancecertainpartsoftheconventionalcommunicationsystemsuchasmodulationrecognition^channelencodinganddecoding-channelestimationanddetectionandanautoencoderwhichcanreplacethetotalsystemwithano

6、velarchitecture【modulationrecognition:AnNNarchitectureformodulationrecognitionthatconsistsofa4-layerNNandtwotwo-layerNNs0channelencodinganddecoding：AplainDNNarchitectureforchanneldecodingtodecodekbitsmessagesfromNbitsnoisycodewordsochannelestimationanddetection:Adense-Netfor

7、symbol-to-symboldetectioncanadoptlongshort-termmemory(LSTM)todetectanestimatedsymbol.Autoencoder：theautoencodercanrepresenttheentirecommunicationsystemandjointlyoptimizethetransmitterandreceiveroveranAWGNchannel.P6Sowhydidweconductthisresearch?Well,wewanttoexploitthepotentia

8、lbenefitsofdeeplearninginenhancingphysicallayersecurityincooperative(/kso'p