| CPC H04W 24/10 (2013.01) [H04L 41/16 (2013.01)] | 19 Claims |
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8. A method comprising:
receiving, by a user device from an access node, a measurement configuration, for training of a machine learning operations control model, the measurement configuration comprising an indication of at least one parameter to be measured and at least one acceptance condition for measurement values of the at least one measured parameter, wherein the machine learning operations control model comprises a machine learning radio resource management model and machine learning internal operations model;
obtaining at least one measurement value;
comparing the at least one measurement value to the at least one acceptance condition for defining usability of the at least one measurement value for the training, and when the at least one measurement value is usable for the training, carrying out the training of the machine learning radio resource management model, and transmitting the machine learning radio resource management model as trained to the access node for a radio resource management operation associated with the machine learning radio resource management model, and
carrying out the training of the machine learning operations control model, wherein the machine learning radio resource management model as trained is used by the user device in the radio resource management operation associated with the machine learning radio resource management model and the machine learning internal operations model is used by the user device in user device operations associated with the internal operations model, or
when the at least one measurement value is not usable for the training,
transmitting the at least one measurement value to the access node,
wherein the measurement configuration is area-specific, user device-specific, user device group-specific and service-specific.
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