| CPC H04W 16/10 (2013.01) [H04W 16/14 (2013.01); H04W 24/02 (2013.01); H04W 24/04 (2013.01); H04W 24/08 (2013.01); H04W 28/0925 (2020.05); H04W 28/0967 (2020.05); H04W 72/0453 (2013.01)] | 20 Claims |

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1. A system for spectrum management in an electromagnetic environment comprising:
at least one monitoring sensor operable to detect signal information from the electromagnetic environment;
at least one data analysis engine operable to analyze the detected signal information;
wherein the detected signal information includes a center frequency and bandwidth of at least one signal;
wherein the at least one data analysis engine is operable to obtain statistical information and analyze possible interactions based on the center frequency and the bandwidth of each signal to create analyzed 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;
a machine learning (ML) engine in communication with the at least one data analysis engine; and
a wireless network resource optimization application in the MEC layer, wherein the wireless network resource optimization application includes at least one rule and/or at least one policy;
wherein the ML engine is operable to make predictions about the electromagnetic environment based on the analyzed data;
wherein the wireless network resource optimization application is operable to use the analyzed data from the at least one data analysis engine to create actionable data for optimizing network resources based on the at least one rule and/or the at least one policy;
wherein the network resources are optimized based on a customer goals index vector; and
wherein the customer goals index vector is a vector of binary values.
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