Systems and methods for automatically updating radio access network configurations in case of predicted service degradation

A device, comprising:

• one or more processors configured to:
• receive topology data associated with a plurality of radio access networks (RANs) and historical energy consumption data associated with respective radios of the plurality of RANs;
• generate feature data identifying features based on the topology data and the historical energy consumption data;
• process the feature data, with a predictive model, to generate a trained predictive model that predicts energy consumption drops of the respective radios and corresponding key performance indicator (KPI) degradations;
• receive traffic associated with the plurality of RANs and current energy consumption data associated with the respective radios of the plurality of RANs;
• create a network data flow graph of the plurality of RANs or the respective radios of the plurality of RANs based on the traffic and the current energy consumption data;
• process the network data flow graph, with the trained predictive model, to determine energy consumption drops of the respective radios and corresponding KPI degradations of the respective radios;
• identify a radio of the respective radios and with an energy consumption drop above a predefined threshold;
• and
• perform one or more actions for the radio with the energy consumption drop above the predefined threshold.

A non-transitory computer-readable medium storing a set of instructions, the set of instructions comprising:

• one or more instructions that, when executed by one or more processors of a device, cause the device to:
• receive traffic associated with a plurality of radio access networks (RANs) and current energy consumption data associated with respective radios of the plurality of RANS;
• create a network data flow graph of the plurality of RANs or the respective radios of the plurality of RANs based on the traffic and the current energy consumption data;
• process the network data flow graph, with a predictive model, to determine energy consumption drops of the respective radios and corresponding KPI degradations of the respective radios;
• identify a radio of the respective radios and with an energy consumption drop above a predefined threshold;
• and
• perform one or more actions for the radio with the energy consumption drop above the predefined threshold.