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 monitoring sensor operable to monitor the electromagnetic environment and create measured data based on the electromagnetic environment;
at least one data analysis engine for analyzing the measured data;
at least one application; and
a tip and cue server;
wherein the at least one data analysis engine includes a detection engine, a learning engine, and a classification engine, wherein the detection engine is operable to automatically detect at least one signal of interest, wherein the learning engine is operable to learn the electromagnetic environment, and wherein the classification engine is operable to classify the at least one signal of interest;
wherein the at least one application includes a resource brokerage application, wherein the resource brokerage application is operable to optimize resources to improve performance of at least one customer application and/or at least one customer device; and
wherein the tip and cue server is operable to use analyzed data from the at least one data analysis engine to create actionable data.
2. The system of claim 1 , wherein the at least one monitoring sensor includes at least one antenna, at least one antenna array, at least one radio server, and/or at least one software defined radio.
3. The system of claim 1 , wherein one or more of the at least one monitoring sensor is mounted on a drone, a vehicle, in or on a street light, in or on a traffic pole, and/or on top of a building.
4. The system of claim 1 , wherein one or more of the at least one monitoring sensor is integrated with at least one camera to capture video and/or still images.
5. The system of claim 1 , wherein the classification engine is operable to generate a query to a static database to classify the at least one signal of interest.
6. The system of claim 1 , wherein the classification engine is operable to perform moment calculations for the analyzed data using decimated values and/or information from a channelizer.
7. The system of claim 1 , wherein the classification engine is operable to classify the at least one signal of interest as a quadrature amplitude modulation (QAM) signal, an amplitude modulation (AM) signal, a constant envelope signal, a pulse-amplitude modulation (PAM) signal, or a binary phase-shift keying (BPSK) signal.
8. The system of claim 1 , wherein the at least one data analysis engine further includes an identification engine and/or a geolocation engine.
9. The system of claim 1 , wherein the at least one application further includes a certification and compliance application, wherein the certification and compliance application is operable to determine if the at least one customer application and/or the at least one customer device is behaving according to at least one rule and/or at least one policy.
10. The system of claim 1 , wherein the at least one application further includes a survey occupancy application, wherein the survey occupancy application is operable to determine occupancy in frequency bands and schedule occupancy in at least one frequency band.
11. The system of claim 1 , wherein the actionable data is used to generate at least one knowledge-based decision tree.
12. The system of claim 1 , wherein the actionable data indicates that one or more of the at least one signal of interest is behaving like a drone.
13. The system of claim 1 , wherein the actionable data indicates a location for at least one macrosite and/or at least one tower.
14. A system for spectrum management in an electromagnetic environment comprising:
at least one monitoring sensor operable to monitor the electromagnetic environment and create measured data based on the electromagnetic environment;
at least one data analysis engine for analyzing the measured data;
a resource brokerage application; and
a tip and cue server;
wherein the at least one data analysis engine includes a detection engine, a classification engine, a geolocation engine, and a learning engine, wherein the detection engine is operable to automatically detect at least one signal of interest, wherein the learning engine is operable to learn the electromagnetic environment, and wherein the classification engine is operable to classify the at least one signal of interest;
wherein the resource brokerage application is operable to optimize resources to improve performance of at least one customer application and/or at least one customer device; and
wherein the tip and cue server is operable to use analyzed data from the at least one data analysis engine to create actionable data.
15. The system of claim 14 , wherein the classification engine is operable to perform moment calculations for the analyzed data using decimated values and/or information from a channelizer, and wherein the moment calculations include a second moment and/or a fourth moment for each of the at least one signal of interest.
16. The system of claim 14 , wherein the classification engine is operable to classify the at least one signal of interest as a quadrature amplitude modulation (QAM) signal, an amplitude modulation (AM) signal, a constant envelope signal, a pulse-amplitude modulation (PAM) signal, or a binary phase-shift keying (BPSK) signal.
17. A method for spectrum management in an electromagnetic environment comprising:
monitoring the electromagnetic environment using at least one monitoring sensor and creating measured data based on the electromagnetic environment;
analyzing the measured data using at least one data analysis engine, thereby creating analyzed data, wherein the at least one data analysis engine includes a detection engine, a learning engine, and a classification engine;
learning the electromagnetic environment using the learning engine;
automatically detecting at least one signal of interest using the detection engine;
classifying the at least one signal of interest using the classification engine;
optimizing resources to improve performance of at least one customer application and/or at least one customer device using a resource brokerage application; and
creating actionable data using a tip and cue server based on the analyzed data from the at least one data analysis engine.
18. The method of claim 17 , wherein classifying the at least one signal of interest includes the classification engine performing moment calculations for the analyzed data using decimated values and/or information from a channelizer.
19. The method of claim 17 , wherein classifying the at least one signal of interest includes the classification engine querying a static database.
20. The method of claim 17 , wherein the classification engine is operable to classify the at least one signal of interest as a quadrature amplitude modulation (QAM) signal, an amplitude modulation (AM) signal, a constant envelope signal, a pulse-amplitude modulation (PAM) signal, or a binary phase-shift keying (BPSK) signal.