Patent ID: 11943640
Assignee: TELEFONAKTIEBOLAGET LM ERICSSON (PUBL)
Field: Computer technology (Electrical engineering)
Classification: CPC H  G | IPC G  H

Claim 18:
19. A method for generating synthetic data as input for a machine learning process that recommends radio access network (RAN) configurations, the method comprising
obtaining a noise input;
generating, using a trained generative machine learning model, synthetic data from the noise input, wherein the generative machine learning model has been trained together with a discriminative machine learning model as adversaries based on non-synthetic data associating non-synthetic configuration management (CM) parameter values, non-synthetic RAN characteristic parameter values, and non-synthetic performance indicator values, wherein each non-synthetic performance indicator value indicates a performance for a given RAN configuration as defined by one or more of the non-synthetic CM parameter values and a given RAN characteristic as defined by one or more of the non-synthetic RAN characteristic parameter values, wherein the synthetic data, in the same form as the non-synthetic data, comprises at least one of one or more synthetic CM parameter values, one or more synthetic RAN characteristic parameter values, and one or more synthetic performance indicator values; and
outputting the synthetic data for the machine learning process.