System, method, and apparatus for providing optimized network resources

A system for spectrum management in an electromagnetic environment comprising:

• at least one monitoring sensor operable to create measured data from the electromagnetic environment;
• at least one data analysis engine operable to analyze the measured data;
• a Multi-Access Edge Computing (MEC) layer in a network slice, wherein the MEC layer is in communication with a radio access network (RAN) and a core network;
• and
• an artificial intelligence (AI) agent in communication with the at least one data analysis engine;
• wherein the AI agent is operable to automatically adjust network parameters of the at least one data analysis engine over time based on at least one customer goal, at least one policy, and/or at least one key performance indicator (KPI);
• wherein the at least one data analysis engine uses an equalizer to reduce signal interference and/or distortion of at least one signal based on information from at least one other signal for preemptive removal of the at least one other signal before equalization;
• wherein the AI agent is operable to make predictions about the electromagnetic environment based on the analyzed data and/or a previous dataset;
• wherein the MEC layer is operable to use the predictions from the AI agent to create actionable data for optimizing network resources;
• and
• wherein the equalizer is operable to use machine learning (ML) and/or AI for the equalization and mitigation of signal noise of the at least one signal in real-time as the electromagnetic environment changes.

A system for spectrum management in an electromagnetic environment comprising:

• at least one monitoring sensor operable to create measured data from the electromagnetic environment;
• at least one data analysis engine operable to analyze the measured data;
• a Multi-Access Edge Computing (MEC) layer in a network slice, wherein the MEC layer is in communication with a radio access network (RAN) and a core network;
• and
• an artificial intelligence (AI) agent in communication with the at least one data analysis engine;
• wherein the AI agent is operable to automatically adjust network parameters of the at least one data analysis engine over time based on at least one customer goal, at least one policy, and/or at least one key performance indicator (KPI);
• wherein the at least one data analysis engine uses an equalizer to reduce signal interference and/or distortion of at least one signal based on information from at least one other signal for preemptive removal of the at least one other signal before equalization;
• wherein the equalizer is operable to use machine learning (ML) and/or AI for the equalization and mitigation of signal noise of the at least one signal in real-time as the electromagnetic environment changes;
• and
• wherein the AI agent is operable to provide recommendations for the adjustment of the network parameters based on the at least one customer goal.