System, method, and apparatus for providing dynamic, prioritized spectrum management and utilization
Systems, methods, and apparatuses for providing dynamic, prioritized spectrum utilization management. The system includes at least one monitoring sensor, at least one data analysis engine, at least one application, a semantic engine, a programmable rules and policy editor, a tip and cue server, and/or a control panel. The tip and cue server is operable utilize the environmental awareness from the data processed by the at least one data analysis engine in combination with additional information to create actionable data.
1 . An apparatus for intermodulation distortion analysis in an electromagnetic environment comprising:
at least one data analysis engine configured to receive measured data from the electromagnetic environment;
wherein the at least one data analysis engine is configured to analyze the measured data and at least one mask to identify intermodulation distortion (IMD) components of at least one signal using an intermodulation analysis workflow and/or artificial intelligence (AI) or machine learning (ML); wherein the intermodulation analysis workflow includes a narrowband sorting block, a wideband sorting block, and/or an intermodulation calculator.
2 . The apparatus of claim 1 , wherein the IMD components of the at least one signal are identified based on a customer goals index vector and/or a service provided to at least one user equipment (UE) device.
3 . The apparatus of claim 2 , wherein the customer goals index vector is a binary vector.
4 . The apparatus of claim 1 , wherein the at least one data analysis engine is configured to provide a recommendation for at least one parameter of the at least one signal.
5 . The apparatus of claim 4 , wherein the at least one parameter is a power level of the at least one signal.
6 . The apparatus of claim 1 , further comprising a blind detection engine configured to estimate a number of channels, corresponding bandwidths for the number of channels, and/or center frequencies using an averaged power spectral density (PSD) of the at least one signal.
7 . The apparatus of claim 1 , wherein the narrowband sorting block is configured to sort the at least one signal by a dynamically adjustable threshold.
8 . An apparatus for intermodulation distortion analysis in an electromagnetic environment comprising:
at least one data analysis engine configured to receive measured data based on the electromagnetic environment;
wherein the at least one data analysis engine is configured to analyze the measured data and at least one mask to identify intermodulation distortion (IMD) components of at least one signal using artificial intelligence (AI) or machine learning (ML); wherein the IMD components of the at least one signal are identified based on a customer goals index vector and/or a service provided to at least one user equipment (UE) device.
9 . The apparatus of claim 8 , wherein the customer goals index vector is a binary vector.
10 . The apparatus of claim 8 , wherein the at least one data analysis engine is configured to provide a recommendation for at least one parameter of the at least one signal.
11 . The apparatus of claim 10 , wherein the at least one parameter is a power level of the at least one signal.
12 . The apparatus of claim 8 , further comprising a blind detection engine configured to estimate a number of channels, corresponding bandwidths for the number of channels, and/or center frequencies using an averaged power spectral density (PSD) of the at least one signal.
13 . A method for intermodulation distortion analysis in an electromagnetic environment comprising:
at least one data analysis engine receiving measured data based on the electromagnetic environment;
the at least one data analysis engine analyzing the measured data and at least one mask to identify intermodulation distortion (IMD) components of at least one signal using an intermodulation analysis workflow and/or artificial intelligence (AI) or machine learning (ML); further comprising a blind detection engine estimating a number of channels, corresponding bandwidths for the number of channels, and/or center frequencies using an averaged power spectral density (PSD) of the at least one signal.
14 . The method of claim 13 , further comprising at least one data analysis engine providing a recommendation for at least one parameter of the at least one signal.
15 . The method of claim 14 , wherein the at least one parameter is a power level of the at least one signal.
16 . The method of claim 13 , further comprising sorting the at least one signal by a dynamically adjustable threshold.
17 . The method of claim 13 , wherein the IMD components of the at least one signal are identified based on a customer goals index vector and/or a service provided to at least one user equipment (UE) device.