US 12,273,730 B2
System, method, and apparatus for providing optimized network resources
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 Sep. 5, 2024, as Appl. No. 18/825,687.
Application 18/825,687 is a continuation of application No. 18/633,934, filed on Apr. 12, 2024, granted, now 12,120,528.
Application 18/633,934 is a continuation of application No. 18/336,462, filed on Jun. 16, 2023, granted, now 11,985,509, issued on May 14, 2024.
Application 18/336,462 is a continuation of application No. 18/101,899, filed on Jan. 26, 2023, granted, now 11,683,695, issued on Jun. 20, 2023.
Application 18/101,899 is a continuation of application No. 17/901,035, filed on Sep. 1, 2022, granted, now 11,570,627, issued on Jan. 31, 2023.
Claims priority of provisional application 63/370,184, filed on Aug. 2, 2022.
Prior Publication US 2024/0430691 A1, Dec. 26, 2024
This patent is subject to a terminal disclaimer.
Int. Cl. H04W 16/10 (2009.01); H04W 16/14 (2009.01); H04W 24/02 (2009.01); H04W 24/04 (2009.01); H04W 24/08 (2009.01); H04W 24/10 (2009.01); H04W 28/02 (2009.01); H04W 28/24 (2009.01)
CPC H04W 16/10 (2013.01) [H04W 24/02 (2013.01); H04W 24/08 (2013.01); H04W 24/10 (2013.01); H04W 28/24 (2013.01); H04W 16/14 (2013.01); H04W 24/04 (2013.01); H04W 28/0268 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A system for dynamic spectrum utilization management in an electromagnetic environment comprising:
a Multi-Access Edge Computing (MEC) layer in a network slice or a subnetwork;
a wireless network resource optimization application configured to receive measured data from the electromagnetic environment; and
at least one data analysis engine for analyzing the measured data to create analyzed data;
wherein the analyzed data is represented in a vector ensemble class for each signal in the electromagnetic environment;
wherein the wireless network resource optimization application is operable to use the analyzed data and a customer goals index vector to create actionable data for optimizing network resources; and
wherein the customer goals index vector is a vector of binary values.