Wireless Fading Channel Prediction Method Based on Deep Learning
In this project,wireless fading channels are predicted from two aspects:LSTM and Seq2Seq.First-ly,Rayleigh model and Ricean model are used to generate fading parameters of different fading degrees,and Jakes model is used to generate channel models.Finally,sliding window model is used to predict,simulate,compare and analyze channels.
neural networkwireless channel predictionRayleigh modelLSTM prediction modelSeq2Seq prediction model
NETL
NSTL
万方数据
