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 . A system for spectrum management in an electromagnetic environment comprising:
at least one analysis engine operable to analyze measured data based on the electromagnetic environment to create analyzed data; and
at least one tip and cue engine operable to create actionable data based on the analyzed data;
wherein the measured data includes at least one signal from the citizens broadband radio service (CBRS) signal band.
2 . The system of claim 1 , wherein the at least one signal is an incumbent radar signal.
3 . The system of claim 1 , further comprising a survey occupancy application operable to identify at least two signals which exist in a band based on interference between the at least two signals.
4 . The system of claim 1 , wherein the actionable data includes dynamic spectrum utilization data.
5 . The system of claim 1 , wherein the actionable data is used with at least one artificial intelligence (AI) or machine learning (ML) algorithm to identify solutions to reduce or eliminate interference.
6 . The system of claim 1 , wherein the actionable data relates to sharing frequency bands.
7 . The system of claim 1 , further comprising a survey occupancy application, wherein the survey occupancy application is operable to schedule occupancy in at least one frequency band to reduce or eliminate interference.
8 . The system of claim 1 , wherein the actionable data is created based on government defined rules or customer-defined rules.
9 . The system of claim 1 , wherein the tip and cue engine is operable to create a report and/or recommendation based on the analyzed data.
10 . A system for spectrum management in an electromagnetic environment comprising:
at least one analysis engine for analyzing measured data based on the electromagnetic environment;
wherein the at least one analysis engine is operable to identify at least one signal based on the measured data to create analyzed data; and
at least one tip and cue engine operable to transform the analyzed data into actionable data related to power levels and/or beam forming.
11 . The system of claim 10 , wherein the actionable data is created based on government defined rules or customer defined rules.
12 . The system of claim 10 , wherein the at least one signal is from the citizens broadband radio service (CBRS) signal band.
13 . The system of claim 10 , wherein the actionable data is used with at least one artificial intelligence (AI) or machine learning (ML) engine to identify solutions to reduce or eliminate interference.
14 . The system of claim 10 , wherein the actionable data relates to a location, wherein the location is determined by a geolocation engine operable to use spinning direction finding via rotating directional antennas to estimate a direction of arrival of an emitter of at least one signal of interest.
15 . A method for spectrum management in an electromagnetic environment comprising:
analyzing measured data based on the electromagnetic environment using at least one data analysis engine, thereby creating analyzed data; and
transforming the analyzed data into actionable data related to power levels and/or beam forming;
wherein the measured data includes at least one signal from the citizens broadband radio service (CBRS) signal band.
16 . The method of claim 15 , further comprising at least one resource coordinator coordinating resources based on the actionable data.
17 . The method of claim 15 , wherein the at least one signal includes at least one incumbent signal.
18 . The method of claim 15 , wherein the actionable data includes dynamic spectrum utilization data.
19 . The method of claim 15 , wherein the actionable data is created by translating a rule set into optimization objectives, wherein the optimization objectives include constraints associated with signal characteristics.
20 . The method of claim 15 , wherein the actionable data is used with at least one artificial intelligence (AI) or machine learning (ML) engine to identify solutions to reduce or eliminate interference.