| CPC H04W 16/10 (2013.01) [G06F 30/27 (2020.01); G06N 3/02 (2013.01); G06N 5/022 (2013.01); G06N 5/04 (2013.01); G06N 20/00 (2019.01); G06N 20/10 (2019.01); G06N 20/20 (2019.01); H04L 41/0893 (2013.01); H04L 41/16 (2013.01); H04W 24/02 (2013.01); H04W 72/0453 (2013.01); G06N 3/042 (2023.01); G06N 3/045 (2023.01); H04L 41/0894 (2022.05); H04W 16/14 (2013.01); H04W 24/08 (2013.01)] | 20 Claims |

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1. A system for dynamic, prioritized spectrum utilization management in an electromagnetic environment comprising:
at least one data analysis engine for analyzing measured data from the electromagnetic environment;
at least one machine learning engine; and
at least one inference engine;
wherein the at least one data analysis engine is in communication with the at least one machine learning engine and the at least one inference engine;
wherein the at least one inference engine is operable to use the measured data and/or external data sources to generate actionable data;
wherein the at least one machine learning engine is operable to use the actionable data to provide results and/or solutions based on policies; and
wherein the at least one inference engine learns the electromagnetic environment and/or makes predictions about the electromagnetic environment.
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