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This repositry is all about building up wireless communication channel model for generating channel data and perform ML channel prediction algorithms
Use of Time Series Forecasting to predict real D2D/mmWave/THz channels
Code for the paper "Predicting Multi-Antenna Frequency-Selective Channels via Meta-Learned Linear Filters based on Long-Short Term Channel Decomposition"
This project is to simulation in the paper "An Adaptive and Parameter-Free Recurrent Neural Structure for Wireless Channel Prediction"
CNN+BiLSTM+Attention Multivariate Time Series Prediction implemented by Keras
Data-Generation-and-Codes-for-Deep-Transfer-Learning-Based-Downlink-Channel-Prediction-for-FDD-Massive-MIMO-Systems
Codes-for-Deep-Transfer-Learning-Based-Downlink-Channel-Prediction-for-FDD-Massive-MIMO-Systems
[code] “A Deep Learning Model for Wireless Channel Quality Prediction”. By J. Dinal Herath, Anand Seetharam, Arti Ramesh. In: IEEE International Conference on Communications (ICC-2019).
雷达回波外推,ConvLSTM,训练模型并外推。
Using an LSTM to train LS estimations of a Rayleigh channel, and outputting a channel forecast.
Tools and contribution associated with the PhD thesis tiled Optimization of Future Mobile Communication Systems using Deep Learning
Gaussian processes with uncertain input, applied to wireless channel learning and prediction
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