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

Claim 0:
1. An apparatus for generating synthetic data as input for a machine learning process that recommends radio access network (RAN) configurations, the apparatus comprising:
processing circuitry;
memory containing instructions executable by the processing circuitry whereby the apparatus is operative to:
obtain a noise input;
generate, 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
output the synthetic data for the machine learning process.