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 channelization in an electromagnetic environment comprising:
at least one data analysis engine configured to analyze measured data from the electromagnetic environment to create analyzed data; and
a channelization engine operable to generate channel utilization and occupancy data for a plurality of spectrum bands based on the analyzed data;
wherein the channelization engine is operable to communicate with the at least one data analysis engine; and
wherein the at least one data analysis engine is operable to identify at least one signal.
2 . The system of claim 1 , wherein the at least one data analysis engine is operable to dynamically allocate at least one of the plurality of spectrum bands based on the channel utilization and occupancy data, type of identified signal, service provided to at least one user equipment (UE) device, and/or customer goals.
3 . The system of claim 1 , wherein the at least one data analysis engine is operable to receive the channel utilization and occupancy data from the channelization engine.
4 . The system of claim 1 , wherein the at least one signal includes at least one television signal.
5 . The system of claim 1 , wherein the channelization engine includes a neural network (NN).
6 . The system of claim 1 , wherein the at least one data analysis engine includes an embedded artificial intelligence (AI) agent operable to record and/or extract relevant features from the at least one signal.
7 . The system of claim 6 , wherein the embedded AI agent dynamically adjusts parameters of the at least one signal based on the relevant features, customer goals, and/or network requirements.
8 . The system of claim 6 , wherein the embedded AI agent is operable to utilize machine learning (ML), a neural network, and/or natural language processing (NLP).
9 . The system of claim 1 , wherein data from the channelization engine undergoes an N point fast Fourier transform (FFT), wherein a power spectral density (PSD) is calculated for the N point FFT, wherein a complex average FFT is obtained for a plurality of blocks of the N point FFT.
10 . The system of claim 1 , further comprising a noise floor estimator operable to estimate a bin-wise noise model, estimate a bin-wise noise plus signal model, determine a bin-level probability of false alarm, a bin-level threshold, a channel-level probability of false alarm, a channel-level threshold, calculate a detection vector, count a number of elements above the bin-level threshold, determine a probability of false alarm, determine a probability of missed detection, and/or determine an overall detection probability.
11 . The system of claim 1 , wherein the channelization engine is operable to use hypothesis testing to generate the channel utilization and occupancy data.
12 . The system of claim 1 , wherein the channelization engine is operable to use artificial intelligence (AI) or machine learning (ML) to determine the channel utilization and occupancy data based on the analyzed data.
13 . The system of claim 1 , wherein the at least one data analysis engine includes a detection engine, a classification engine, an identification engine, a geo-location engine, and/or a learning engine.
14 . The system of claim 13 , wherein the classification engine contains frequency data from at least one external source.
15 . A system for spectrum channelization in an electromagnetic environment comprising:
at least one data analysis engine configured to analyze measured data from the electromagnetic environment to create analyzed data; and
at least one channelization engine operable to use artificial intelligence (AI) or machine learning (ML) on the analyzed data to generate channel utilization and occupancy data for a plurality of spectrum bands;
wherein the at least one data analysis engine is operable to identify at least one signal.
16 . The system of claim 15 , wherein the measured data includes data for at least one television signal.
17 . The system of claim 15 , wherein the at least one data analysis engine is operable to use the channel utilization and occupancy data to dynamically allocate at least one of the plurality of spectrum bands.
18 . A method for spectrum channelization in an electromagnetic environment comprising:
analyzing measured data from the electromagnetic environment using at least one data analysis engine to create analyzed data;
transmitting a query to a database to classify at least one signal based on the analyzed data using a classification engine; and
generating channel utilization and occupancy data for a plurality of spectrum bands by a channelization engine using artificial intelligence (AI) or machine learning (ML);
wherein the at least one data analysis engine is in communication with the channelization engine and the classification engine.
19 . The method of claim 18 , wherein the at least one data analysis engine is operable to cross reference the channel utilization and occupancy data with the classification engine to dynamically allocate at least one of the plurality of spectrum bands.
20 . The method of claim 18 , further comprising the at least one data analysis engine dynamically allocating at least one available channel based on the channel utilization and occupancy data.