A machine learning method for predicting the evolution of a mobile communication channel based on a specific type of convolutional neural network is developed and evaluated in a simulated multipath transmission scenar...A machine learning method for predicting the evolution of a mobile communication channel based on a specific type of convolutional neural network is developed and evaluated in a simulated multipath transmission scenario.The simulation and channel estimation are designed to replicate real-world scenarios and common measurements supported by reference signals in modern cellular networks.The capability of the predictor meets the requirements that a deployment of the developed method in a radio resource scheduler of a base station pos es.Possible applications of the method are discussed.展开更多
文摘A machine learning method for predicting the evolution of a mobile communication channel based on a specific type of convolutional neural network is developed and evaluated in a simulated multipath transmission scenario.The simulation and channel estimation are designed to replicate real-world scenarios and common measurements supported by reference signals in modern cellular networks.The capability of the predictor meets the requirements that a deployment of the developed method in a radio resource scheduler of a base station pos es.Possible applications of the method are discussed.
