US 12,470,939 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 Mar. 26, 2025, as Appl. No. 19/091,059.
Application 19/091,059 is a continuation of application No. 18/924,399, filed on Oct. 23, 2024, granted, now 12,289,603.
Application 18/924,399 is a continuation of application No. 18/646,330, filed on Apr. 25, 2024, granted, now 12,156,037, issued on Nov. 26, 2024.
Application 18/646,330 is a continuation in part of application No. 18/417,659, filed on Jan. 19, 2024, granted, now 12,041,460, issued on Jul. 16, 2024.
Application 18/417,659 is a continuation of application No. 18/411,817, filed on Jan. 12, 2024, granted, now 12,185,114, issued on Dec. 31, 2024.
Application 18/411,817 is a continuation of application No. 18/405,531, filed on Jan. 5, 2024, granted, now 12,075,259, issued on Aug. 27, 2024.
Application 18/405,531 is a continuation of application No. 18/526,329, filed on Dec. 1, 2023, granted, now 11,968,539, issued on Apr. 23, 2024.
Application 18/526,329 is a continuation of application No. 18/237,970, filed on Aug. 25, 2023, granted, now 11,843,953, issued on Dec. 12, 2023.
Application 18/237,970 is a continuation in part of application No. 18/086,115, filed on Dec. 21, 2022, granted, now 11,751,064, issued on Sep. 5, 2023.
Application 18/086,115 is a continuation in part of application No. 18/085,904, filed on Dec. 21, 2022, granted, now 11,659,401, issued on May 23, 2023.
Application 18/085,904 is a continuation of application No. 18/085,791, filed on Dec. 21, 2022, granted, now 11,659,400, issued on May 23, 2023.
Application 18/085,791 is a continuation of application No. 18/085,733, filed on Dec. 21, 2022, granted, now 11,711,726, issued on Jul. 25, 2023.
Application 18/085,733 is a continuation in part 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 2025/0254526 A1, Aug. 7, 2025
This patent is subject to a terminal disclaimer.
Int. Cl. H04W 16/10 (2009.01); H04W 24/02 (2009.01); H04W 24/08 (2009.01); H04W 28/08 (2023.01); H04W 72/0453 (2023.01); H04W 16/14 (2009.01)
CPC H04W 16/10 (2013.01) [H04W 24/02 (2013.01); H04W 24/08 (2013.01); H04W 28/0925 (2020.05); H04W 28/0967 (2020.05); H04W 72/0453 (2013.01); H04W 16/14 (2013.01)] 16 Claims
OG exemplary drawing
 
1. A system for spectrum management in an electromagnetic environment comprising:
at least one monitoring sensor configured to measure at least one signal from the electromagnetic environment to create measured data;
wherein the measured data is represented in a vector ensemble class for each signal in the electromagnetic environment;
wherein the vector ensemble class includes at least one signal center frequency, bandwidth, signal-to-noise ratio, and/or time duration;
a data analysis engine configured to obtain statistical information and/or analyze possible interactions based on the center frequency and the bandwidth of the at least one signal to create analyzed data;
a Multi-Access Edge Computing (MEC) layer in a network slice or subnetwork, wherein the MEC layer is in communication with a radio access network (RAN); and
an artificial intelligence (AI) agent in the MEC layer in communication with the at least one data analysis engine; wherein the AI agent is included in a RAN Intelligent Controller (RIC); and
wherein the AI agent is configured to make predictions about the electromagnetic environment based on the analyzed data and/or a previously analyzed dataset;
wherein the AI agent includes a training model for automatic pattern recognition and/or pattern analysis; and
wherein the AI agent is configured to dynamically optimize network resources and/or network parameters based on demand and/or quality of service (QOS) requirements using the analyzed data, the predictions about the electromagnetic environment, and the training model.