Publikation
A Machine Learning Method for Prediction of Multipath Channels
Julian Ahrens; Lia Ahrens; Hans Dieter Schotten
In: ZTE Communications: An International Journal, Vol. Special Issue on Computational Radio Intelligence, Pages 1-10, Editorial Office of ZTE Communications, 2020.
Zusammenfassung
In this paper, 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 poses. Possible applications of the method are discussed.