Method of and apparatus for machine learning in a radio network

Abstract

A first apparatus (101) for a first method comprising receiving input data of at least one user equipment (102), determining an input to at least a part of at least one input layer (112A) of an artificial neural network depending on the input data, determining an output of a first part of the artificial neural network and transmitting the output of this part of the artificial neural network, and a second apparatus (105) for a second method comprising receiving an input for another part of the artificial neural network, determining an output of this part of the artificial neural network for at least one user equipment (102) depending on the input, the other part of the rtificial neural network comprising at least a part of at least one hidden layer (118A) or at least a part of an output layer (114A) of he artificial neural network or at least a part of at least one hidden layer (118A) and at least a part of an output layer (114A) of the artificial neural network, and outputting the output.

Dependencies are inferred from the claim text.