Handling of machine learning to improve performance of a wireless communications network

A method performed in a network node for handling of machine learning to improve performance of a wireless communications network operating in a wireless communications system, the wireless communications system comprising a central network node and one or more intermediate network nodes arranged between the central network node and one or more leaf network nodes operating in the wireless communications network, the network node is being any one out of the central network node, the one or more intermediate network nodes, or the one or more leaf network nodes, the network node comprising a machine learning unit, the method comprising:

• by means of the machine learning unit and a machine learning model relating to at least one network node out of the one or more intermediate network nodes or the one or more leaf network nodes, determining a prediction of a performance of the at least one network node based on input data relating to the at least one network node;
• based on the determined prediction, performing one or more operations relating to the at least one network node;
• and
• transmitting at least one of the determined prediction and information relating to the machine learning model to one or more other network nodes.

A wireless communications system for handling of machine learning to improve performance of a wireless communications network configured to operate in the wireless communications system, the wireless communications system is being configured to comprise a central network node and one or more intermediate network nodes arranged between the central network node and one or more leaf network nodes configured to operate in the wireless communications network, at least one out of:

• the central network node, the one or more intermediate network nodes or the one or more leaf network nodes being configured to comprise a machine learning unit, the system being configured to:
• by means of the machine learning unit and a machine learning model relating to at least one network node out of the one or more intermediate network nodes or the one or more leaf network nodes, determine a prediction of a performance of the at least one network node based on input data relating to the at least one network node;
• based on the determined prediction, perform one or more operations relating to the at least one network node;
• and
• communicate at least one of the determined prediction and information relating to the machine learning model to one or more other network nodes.

A network node for handling of machine learning to improve performance of a wireless communications network configured to operate in a wireless communications system, wherein the wireless communications system being configured to comprise a central network node and one or more intermediate network nodes arranged between the central network node and one or more leaf network nodes configured to operate in the wireless communications network, the network node is being any one out of the central network node, the one or more intermediate network nodes, or the one or more leaf network nodes, the network node comprising a machine learning unit, the network node being configured to:

• by means of the machine learning unit and a machine learning model relating to at least one network node out of the one or more intermediate network nodes or the one or more leaf network nodes, determine a prediction of a performance of the at least one network node based on input data relating to the at least one network node;
• based on the determined prediction, perform one or more operations relating to the at least one network node;
• and
• communicate at least one of the determined prediction and information relating to the machine learning model to one or more other network nodes.