| CPC H04W 16/14 (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 16/10 (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 24/08 (2013.01); Y04S 40/00 (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 create measured data for at least one signal from the electromagnetic environment;
a certification and compliance application;
a survey occupancy application;
an operational engine; and
a data analysis engine;
wherein the operational engine is operable to determine optimization objectives based on the measured data;
wherein the optimization objectives include constraints associated with signal characteristics;
wherein the system is operable to assign the at least one signal a priority based on at least one customer application associated with the at least one signal;
wherein the priority and at least one rule and/or at least one policy is used in dynamic allocation of spectrum in the electromagnetic environment for the at least one signal;
wherein the certification and compliance application is operable to determine if the at least one customer application and/or at least one customer device is behaving according to the at least one rule and/or the at least one policy;
wherein the survey occupancy application is operable to determine occupancy in frequency bands;
wherein the survey occupancy application is operable to schedule occupancy in the frequency bands;
wherein the operational engine utilizes at least one prediction model to forecast future spectrum usage based on historical data and the measured data;
wherein the operational engine utilizes the at least one prediction model to perform interference source modeling to forecast at least one future probability of a conflicting event;
wherein the at least one monitoring sensor is operable to transmit the measured data to the data analysis engine;
wherein the data analysis engine is operable to generate at least one mask based on the measured data from the electromagnetic environment, wherein the at least one mask is generated by averaging maximum power values of a spectrum of signals over time; and
wherein the data analysis engine is operable to analyze the measured data from the electromagnetic environment using the at least one mask to identify at least one unwanted signal.
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