System, method, and apparatus for providing dynamic, prioritized spectrum management and utilization
AssigneeDigital Global Systems, Inc.
InventorArmando Montalvo
Life of this patent
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Abstract
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.
Claims17
A system for dynamic, prioritized spectrum utilization management in an electromagnetic environment comprising:
- at least one data analysis engine for analyzing measured data from the electromagnetic environment;
- at least one inference engine;
- at least one machine learning engine operable to use actionable data to provide results and/or solutions for spectrum management;
- wherein the at least one inference engine is operable to use the measured data and/or external data sources to generate the actionable data;
- wherein the at least one inference engine is operable to learn the electromagnetic environment and/or makes predictions about the electromagnetic environment.
A system for dynamic, prioritized spectrum utilization management in an electromagnetic environment comprising:
- at least one data analysis engine for analyzing measured data from the electromagnetic environment;
- at least one inference engine operable to use statistical learning techniques and/or control theory to learn the electromagnetic environment and make predictions about the electromagnetic environment based on the measured data;
- further comprising a survey occupancy application operable to determine occupancy in frequency bands.
A method for dynamic, prioritized spectrum utilization management in an electromagnetic environment comprising:
- at least one data analysis engine analyzing the measured data to create analyzed data;
- at least one machine learning engine processing actionable data to provide results and/or solutions for spectrum management based on policies;
- at least one inference engine using statistical learning techniques and/or control theory to make predictions about the electromagnetic environment based on the analyzed data;
- wherein the at least one inference engine utilizes predictive analytics techniques including machine learning (ML), artificial intelligence (AI), neural networks (NNs), historical data, and/or data mining to make future predictions and/or models.
Dependencies are inferred from the claim text.