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 providing actionable data for spectrum management near an airport, comprising:
at least one monitoring sensor operable to capture electromagnetic environment data from at least one frequency band in an airport environment to create measured data;
at least one data analysis engine operable to analyze the measured data to create analyzed data;
at least one tip and cue server operable to create actionable data based on the analyzed data from the at least one data analysis engine; and
at least one predictive analytics engine;
wherein the at least one monitoring sensor is operable to monitor at least one signal;
wherein the at least one predictive analytics engine uses artificial intelligence (AI) and/or machine learning (ML) to analyze historical data to make predictions about the electromagnetic environment.
2 . The system of claim 1 , wherein the at least one tip and cue server and the at least one data analysis engine are operable to run autonomously without requiring user interaction and/or input.
3 . The system of claim 1 , wherein the at least one tip and cue server is operable to make determinations about the electromagnetic environment using at least one data condition.
4 . The system of claim 1 , wherein the at least one tip and cue server is operable to generate at least one report and/or alarm in near-real time based on the actionable data.
5 . The system of claim 1 , wherein the at least one signal is in a frequency between 978 and 1090 MHz, 962 and 1213 MHz, 129 and 137 MHz, 108 and 137 MHz, and/or 4.2 and 4.4 GHz.
6 . The system of claim 1 , wherein expected signal properties from the analyzed data include signal bandwidth, signal timing, and/or signal modulation.
7 . The system of claim 1 , wherein the at least one data analysis engine includes a geolocation engine.
8 . The system of claim 7 , wherein the geolocation engine is operable to determine at least one location of the source of interfering signals.
9 . A system for providing actionable data for spectrum management near an airport, comprising:
at least one monitoring sensor operable to capture electromagnetic environment data from at least one frequency band in an airport environment to create measured data;
at least one data analysis engine operable to analyze and decode the measured data to create analyzed data including at least one decoded message;
at least one tip and cue server operable to create actionable data based on the analyzed data from the at least one data analysis engine; and
at least one predictive analytics engine;
wherein the at least one tip and cue server and the at least one data analysis engine are operable to run autonomously without requiring user interaction and/or input; and
wherein the at least one predictive analytics engine uses artificial intelligence (AI) and/or machine learning (ML) to analyze historical data to make predictions about the electromagnetic environment.
10 . The system of claim 9 , wherein the at least one tip and cue server is operable to make determinations about the electromagnetic environment using at least one external data condition.
11 . The system of claim 10 , wherein the at least one external data condition is a conditional statement which is true when a condition or situation of interest is occurring.
12 . The system of claim 11 , wherein the at least one external data condition is set dynamically based on customer goals.
13 . The system of claim 11 , wherein the at least one external data condition is set manually.
14 . The system of claim 9 , wherein the at least one frequency band is determined dynamically based on customer goals.
15 . The system of claim 9 , wherein the data analysis engine is operable to communicate a malformed message state to the at least one tip and cue server if the data analysis engine is unable to decode any of the analyzed data.
16 . A method for providing actionable data for spectrum management near an airport, comprising:
at least one monitoring sensor capturing electromagnetic environment data from at least one signal in an airport environment, to create measured data based on the electromagnetic environment;
at least one external data analysis engine analyzing the measured data to create analyzed data;
at least one tip and cue server creating actionable data based on the analyzed data from the at least one external data analysis engine; and
at least one predictive analytics engine using artificial intelligence (AI) and/or machine learning (ML) to analyze historical data to make future predictions about the electromagnetic environment;
wherein the at least one tip and cue server is operable to make determinations about the electromagnetic environment using at least one external data condition.
17 . The method of claim 16 , wherein the at least one external data analysis engine includes a geolocation engine, further comprising the geolocation engine determining at least one location of the source of one or more interfering signals.
18 . The method of claim 16 , wherein expected signal properties from the analyzed data include signal bandwidth, signal timing, and/or signal modulation.
19 . The method of claim 16 , further comprising the at least one tip and cue server generating at least one report and/or alarm based on the actionable data.
20 . The method of claim 16 , wherein the at least one monitoring sensor monitors frequency bands between 978 and 1090 MHz, 962 and 1213 MHz, 129 and 137 MHz, 108 and 137 MHz, and/or 4.2 and 4.4 GHz.