| CPC H04W 16/10 (2013.01) [H04W 24/02 (2013.01); H04W 24/08 (2013.01); H04W 24/10 (2013.01); H04W 28/24 (2013.01); H04W 16/14 (2013.01); H04W 24/04 (2013.01); H04W 28/0268 (2013.01)] | 20 Claims |

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1. A system for spectrum utilization management in an electromagnetic environment comprising:
at least one data analysis engine configured to analyze measured data from the electromagnetic environment to create analyzed data;
a Multi-Access Edge Computing (MEC) layer in a network slice;
a wireless network resource optimization application in the MEC layer; and
a machine learning (ML) engine;
wherein the ML engine is configured to use the analyzed data to make predictions about the electromagnetic environment; and
wherein the wireless network resource optimization application is configured to analyze at least one signal for possible interactions based on center frequency and/or bandwidth, and utilize the possible interactions and the predictions about the electromagnetic environment to create actionable data to optimize network resources of a wireless network based on customer goals included in a binary vector;
wherein each binary value of the binary vector represents whether or not a specific piece of the measured data is relevant to satisfying customer goals.
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