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 RF environment and create measured data based on the RF environment;
at least one data analysis engine for analyzing the measured data;
a semantic engine including a programmable rules and policy editor, wherein the semantic engine is in network communication with the at least one data analysis engine; and
a tip and cue server;
wherein the at least one data analysis engine includes a learning engine, wherein the learning engine is operable to learn the RF environment;
wherein the programmable rules and policy editor includes at least one rule and/or at least one policy;
wherein the semantic engine is operable to create a semantic map including target data;
wherein the tip and cue server is operable to use analyzed data from the at least one data analysis engine and information from the semantic engine to create actionable data; and
wherein the tip and cue server is operable to activate at least one alarm based on the 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, on 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 images.
5. The system of claim 1 , wherein the at least one data analysis engine further includes a detection engine, an identification engine, a classification engine, and/or a geolocation engine.
6. The system of claim 5 , wherein the detection engine is operable to automatically detect at least one signal of interest using at least one mask.
7. The system of claim 1 , further including 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.
8. The system of claim 1 , further including a certification and compliance application, wherein the certification and compliance application is operable to determine if 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.
9. The system of claim 1 , further including 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.
10. The system of claim 1 , wherein the semantic engine is operable to receive queries, searches, and/or search-related functions using natural language processing (NLP).
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 at least one signal of interest is behaving like a drone.
13. The system of claim 1 , wherein the actionable data indicates at least one location for adding at least one macrosite and/or at least one tower.
14. The system of claim 1 , wherein the semantic engine is operable to use Latent Semantic Indexing (LSI).
15. The system of claim 1 , wherein the semantic engine further includes a language dictionary.
16. The system of claim 1 , wherein the semantic map is formed using semantic fingerprinting and a Boolean vector.
17. The system of claim 1 , wherein the information from the semantic engine includes constraints associated with signal characteristics.
18. A system for spectrum management in a radio frequency (RF) environment comprising:
at least one monitoring sensor operable to monitor the RF environment and create measured data based on the RF environment;
at least one data analysis engine for analyzing the measured data;
a semantic engine in network communication with the at least one data analysis engine; and
a tip and cue server;
wherein the at least one data analysis engine includes an identification engine, a classification engine, a geolocation engine, and a learning engine, wherein the learning engine is operable to learn the RF environment;
wherein the semantic engine is operable to create a semantic map including target data;
wherein the tip and cue server is operable to use analyzed data from the at least one data analysis engine and information from the semantic engine to create actionable data; and
wherein the tip and cue server is operable to activate at least one alarm based on the actionable data.
19. A method for spectrum management in a radio frequency environment comprising:
providing a semantic engine;
monitoring the RF environment using at least one monitoring sensor and creating measured data based on the RF 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 learning engine, wherein the at least one data analysis engine is in network communication with the semantic engine;
learning the RF environment using the learning engine;
the semantic engine creating a semantic map including target data;
creating actionable data using a tip and cue server based on the analyzed data from the at least one data analysis engine and information from the semantic engine including constraints associated with signal characteristics; and
the tip and cue server activating at least one alarm based on the actionable data.
20. The method of claim 19 , further including generating at least one knowledge-based decision tree based on the actionable data.