US 12,262,211 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 Jul. 31, 2024, as Appl. No. 18/790,231.
Application 18/790,231 is a continuation in part of application No. 18/782,909, filed on Jul. 24, 2024.
Application 18/782,909 is a continuation in part of application No. 18/781,456, filed on Jul. 23, 2024.
Application 18/781,456 is a continuation in part of application No. 18/756,489, filed on Jun. 27, 2024.
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 2024/0397328 A1, Nov. 28, 2024
This patent is subject to a terminal disclaimer.
Int. Cl. H04L 12/28 (2006.01); 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); H04L 41/16 (2022.01); H04W 16/10 (2009.01); H04W 24/02 (2009.01); H04W 72/0453 (2023.01); G06N 3/042 (2023.01); G06N 3/045 (2023.01); H04J 1/16 (2006.01); H04L 41/0894 (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); H04L 41/16 (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 intermodulation distortion analysis and mitigation in an electromagnetic environment comprising:
at least one monitoring sensor including at least one receiver channel operable to monitor and capture electromagnetic environment data and create measured data based on the electromagnetic environment; and
at least one data analysis engine operable to create at least one utilization mask based on the measured data;
wherein the at least one data analysis engine is operable to select at least one parameter based on the measured data and customer goals and/or a service provided to at least one user equipment (UE) device and store the at least one parameter in a parameter block;
wherein the at least one data analysis engine is configured to analyze the at least one utilization mask to identify at least one signal and intermodulation, thereby creating analyzed data;
wherein the at least one data analysis engine is operable to identify and/or sort intermodulation distortion (IMD) components of the at least one signal; and
wherein the at least one data analysis engine is operable to apply artificial intelligence (AI) and/or machine learning (ML) to the analyzed data and the at least one parameter to determine the IMD components.