US 12,309,599 B2
System, method, and apparatus for providing dynamic, prioritized spectrum management and utilization
Armando Montalvo, Winter Garden, FL (US)
Assigned to Digital Global Systems, Inc., Tysons Corner, VA (US)
Filed by Digital Global Systems, Inc., Tysons Corner, VA (US)
Filed on Aug. 26, 2024, as Appl. No. 18/815,364.
Application 18/815,364 is a continuation in part of application No. 18/808,395, filed on Aug. 19, 2024.
Application 18/808,395 is a continuation in part of application No. 18/781,429, filed on Jul. 23, 2024.
Application 18/781,429 is a continuation in part of application No. 18/756,489, filed on Jun. 27, 2024, granted, now 12,149,948.
Application 18/756,489 is a continuation of application No. 18/409,340, filed on Jan. 10, 2024, granted, now 12,035,143, issued on Jul. 9, 2024.
Application 18/409,340 is a continuation of application No. 18/524,945, filed on Nov. 30, 2023, granted, now 11,974,135, issued on Apr. 30, 2024.
Application 18/524,945 is a continuation of application No. 18/218,379, filed on Jul. 5, 2023, granted, now 11,838,764, issued on Dec. 5, 2023.
Application 18/218,379 is a continuation of application No. 18/085,874, filed on Dec. 21, 2022, granted, now 11,700,533, issued on Jul. 11, 2023.
Application 18/085,874 is a continuation in part of application No. 17/992,490, filed on Nov. 22, 2022, granted, now 11,653,213, issued on May 16, 2023.
Application 17/992,490 is a continuation in part of application No. 17/985,570, filed on Nov. 11, 2022, granted, now 11,638,160, issued on Apr. 25, 2023.
Application 17/985,570 is a continuation in part of application No. 17/691,683, filed on Mar. 10, 2022, granted, now 11,838,763, issued on Dec. 5, 2023.
Application 17/691,683 is a continuation of application No. 17/470,253, filed on Sep. 9, 2021, granted, now 11,277,750, issued on Mar. 15, 2022.
Application 17/470,253 is a continuation of application No. 17/085,635, filed on Oct. 30, 2020, granted, now 11,395,149, issued on Jul. 19, 2022.
Claims priority of provisional application 63/018,929, filed on May 1, 2020.
Prior Publication US 2024/0422558 A1, Dec. 19, 2024
This patent is subject to a terminal disclaimer.
Int. Cl. H04W 72/0453 (2023.01); G06F 30/27 (2020.01); G06N 3/02 (2006.01); G06N 5/022 (2023.01); G06N 5/04 (2023.01); G06N 20/00 (2019.01); G06N 20/10 (2019.01); G06N 20/20 (2019.01); H04L 41/0893 (2022.01); H04W 16/10 (2009.01); H04W 24/02 (2009.01); G06N 3/042 (2023.01); G06N 3/045 (2023.01); H04L 41/0894 (2022.01); H04L 41/16 (2022.01); H04W 16/14 (2009.01); H04W 24/08 (2009.01)
CPC H04W 16/10 (2013.01) [G06F 30/27 (2020.01); G06N 3/02 (2013.01); G06N 5/022 (2013.01); G06N 5/04 (2013.01); G06N 20/00 (2019.01); G06N 20/10 (2019.01); G06N 20/20 (2019.01); H04L 41/0893 (2013.01); H04W 24/02 (2013.01); H04W 72/0453 (2013.01); G06N 3/042 (2023.01); G06N 3/045 (2023.01); H04L 41/0894 (2022.05); H04W 16/14 (2013.01); H04W 24/08 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A system for spectrum channelization in an electromagnetic environment comprising:
at least one monitoring sensor operable to monitor the electromagnetic environment and create measured data based on the electromagnetic environment;
at least one data analysis engine configured to analyze the measured data to create analyzed data; and
a channelization engine operable to prepare and/or divide at least one spectrum into a plurality of spectrum bands based on the analyzed data;
wherein the channelization engine is operable to generate channel utilization and occupancy data for the plurality of spectrum bands;
wherein the channelization engine is operable to communicate with the at least one data analysis engine and at least one classification engine;
wherein the at least one data analysis engine is operable to identify at least one signal of interest and dynamically allocate spectrum 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; and
wherein the channelization engine is operable to use artificial intelligence (AI) or machine learning (ML) to determine channel utilization and occupancy based on the analyzed data.