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 data analysis engine operable to analyze measured data based on the electromagnetic environment to create analyzed data; and
at least one interference mitigation engine;
wherein the measured data includes data for at least one Wireless Medical Telemetry Service (WMTS) signal;
wherein the at least one data analysis engine is operable to identify the at least one WMTS signal;
wherein the at least one data analysis engine is operable to use artificial intelligence (AI) and/or machine learning (ML) to dynamically allocate spectrum for the at least one WMTS signal; and
wherein the at least one interference mitigation engine is operable to identify interference between the at least one WMTS signal and at least one second signal.
2 . The system of claim 1 , wherein the at least one interference mitigation engine utilizes ML to predict interference patterns between the at least one WMTS signal and the at least one second signal.
3 . The system of claim 1 , wherein the at least one data analysis engine includes a detection engine, an identification engine, and/or a classification engine.
4 . The system of claim 3 , wherein the classification engine is operable to generate a query to a database to classify the at least one WMTS signal.
5 . The system of claim 4 , wherein the database includes WMTS frequency data from at least one American Society for Healthcare Engineering of the American Hospital Association (ASHE/AHA) database.
6 . The system of claim 1 , wherein the at least one data analysis engine includes at least one AI agent.
7 . The system of claim 6 , wherein the at least one AI agent is operable to dynamically adjust signal parameters of the at least one WMTS signal.
8 . The system of claim 1 , further comprising at least one multi-network orchestration module operable to allocate spectrum resources based on the analyzed data, real-time traffic demands, and/or quality of service (QOS) requirements.
9 . The system of claim 1 , further comprising at least one multi-network orchestration module operable to allocate spectrum resources for at least one WMTS operation relating to the at least one WMTS signal, wherein the allocation of spectrum resources depends upon WMTS operation priority.
10 . A system for spectrum management in an electromagnetic environment comprising:
at least one sensor operable to create measured data based on the electromagnetic environment;
at least one multi-network orchestration module; and
at least one data analysis engine operable to analyze the measured data to create analyzed data;
wherein the measured data includes data for at least one Wireless Medical Telemetry Service (WMTS) signal;
wherein the at least one data analysis engine includes at least one artificial intelligence (AI) agent operable to dynamically adjust signal parameters of the at least one WMTS signal;
wherein the at least one AI agent is operable to use AI and/or machine learning (ML) on the analyzed data to identify patterns and/or trends for the at least one WMTS signal; and
wherein the at least one multi-network orchestration module is operable to manage spectrum resource allocation for at least one WMTS operation.
11 . The system of claim 10 , wherein the at least one WMTS operation relates to the at least one WMTS signal.
12 . The system of claim 10 , further comprising at least one smart contract engine operable to facilitate dynamic spectrum leasing between the at least one WMTS signal and at least one second signal.
13 . The system of claim 10 , further comprising a user-centric spectrum management module operable to personalize network performance enhancements based on at least one user need.
14 . The system of claim 13 , wherein the at least one user need includes low-latency connection and/or high-bandwidth requirements.
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 to create analyzed data;
identifying at least two Wireless Medical Telemetry Service (WMTS) signals using the at least one data analysis engine based on the measured data;
at least one artificial intelligence (AI) agent included in the at least one data analysis engine dynamically adjusting signal parameters of the at least two WMTS signals; and
at least one interference mitigation engine identifying interference between the at least two WMTS signals based on communication from the at least one AI agent.
16 . The method of claim 15 , wherein the at least one AI agent includes at least one training model.
17 . The method of claim 16 , wherein the at least one AI agent dynamically adjusts the at least one training model based on feedback from the electromagnetic environment.
18 . The method of claim 15 , further comprising at least one multi-network orchestration module managing at least two WMTS operations relating to the at least two WMTS signals.
19 . The method of claim 15 , further comprising at least one smart contract engine managing dynamic spectrum leasing between at least two WMTS operators.
20 . The method of claim 19 , wherein the at least two WMTS operators share spectrum resources.