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US-12627993-B2 - System, method, and apparatus for providing optimized network resources

US12627993B2US 12627993 B2US12627993 B2US 12627993B2US-12627993-B2

Abstract

Systems, methods, and apparatuses for providing optimization of network resources. The system is operable to monitor the electromagnetic environment, analyze the electromagnetic environment, and extract environmental awareness of the electromagnetic environment. The system extracts the environmental awareness of the electromagnetic environment by including customer goals. The system is operable to use the environmental awareness with the customer goals and/or user defined policies and rules to extract actionable information to help the customer optimize the network resources.

Inventors

  • Armando Montalvo

Assignees

  • DIGITAL GLOBAL SYSTEMS, INC.

Dates

Publication Date
20260512
Application Date
20251009

Claims (17)

  1. 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 including center frequency, bandwidth, signal-to-noise ratio, and time duration for each signal from the electromagnetic environment; a Multi-Access Edge Computing (MEC) layer in a wireless network; and a data analysis engine in the MEC layer configured to obtain statistical information and analyze possible interactions for each signal from the electromagnetic environment based on center frequency, and a combination of bandwidth and an upper and lower frequency component to create analyzed data: an artificial intelligence (AI) agent in the MEC layer in communication with the at least one data analysis engine; 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.
  2. 2 . The system of claim 1 , wherein the AI agent includes a machine learning algorithm.
  3. 3 . The system of claim 1 , wherein slicing architecture of the MEC layer is based on a plurality of factors including geographic scope, specificity of services, flexible architecture, and/or implementation of MEC applications as part of a slice access point.
  4. 4 . The system of claim 1 , wherein the AI agent is configured to optimize L1, L2, and/or L3 network parameters in real time.
  5. 5 . The system of claim 1 , wherein the AI agent is configured to optimize performance over time based on the training model.
  6. 6 . The system of claim 1 , wherein a MEC host is deployed at an edge of a radio access network (RAN).
  7. 7 . The system of claim 6 , wherein the MEC layer enables serverless computing by hosting Function as a Service (FaaS) at an edge of the RAN.
  8. 8 . The system of claim 1 , further comprising at least one radio unit, distributed unit, and/or central unit, wherein one or more of the at least one radio unit, distributed unit, and/or central unit includes the AI agent.
  9. 9 . The system of claim 1 , further comprising a core network including the AI agent.
  10. 10 . 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 including center frequency, bandwidth, signal-to-noise ratio, and time duration for each signal from the electromagnetic environment; a Multi-Access Edge Computing (MEC) layer in a wireless network, wherein the MEC layer is in communication with a radio access network (RAN); and a data analysis engine in the MEC layer configured to obtain statistical information and analyze possible interactions for each signal from the electromagnetic environment based on a center frequency, and a combination of bandwidth and an upper and lower frequency component to create analyzed data; an artificial intelligence (AI) agent in the MEC layer in communication with the at least one data analysis engine; wherein the AI agent is configured to make predictions about the electromagnetic environment based on the analyzed data and/or a previously analyzed dataset; and a wireless network resource optimization application in the MEC layer; wherein the wireless network resource optimization application is configured to use the analyzed data and the predictions about the electromagnetic environment from the AI agent to create actionable data for optimizing network resources; wherein the AI agent includes a training model for automatic pattern recognition and/or pattern analysis; wherein the AI agent is configured to dynamically optimize network parameters based on the training model.
  11. 11 . The system of claim 10 , wherein the AI agent is configured to provide for optimization of L1, L2, and/or L3 parameters.
  12. 12 . The system of claim 10 , wherein the AI agent is configured to optimize performance over time based on the training model.
  13. 13 . The system of claim 10 , wherein the AI agent is configured to provide for validation of sensor fusion based on automatic pattern recognition.
  14. 14 . The system of claim 10 , wherein the AI agent is configured to optimize the network resources based on customer goals.
  15. 15 . 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 including center frequency, bandwidth, signal-to-noise ratio, and time duration for each signal from the electromagnetic environment; a Multi-Access Edge Computing (MEC) layer in a wireless network, wherein the MEC layer is in communication with a radio access network (RAN); and a data analysis engine in the MEC layer configured to obtain statistical information and analyze possible interactions for each signal from the electromagnetic environment based on center frequency, and a combination of bandwidth and an upper and lower frequency component to create analyzed data: an artificial intelligence (AI) agent in the MEC layer in communication with the at least one data analysis engine; an artificial intelligence (AI) agent configured to make predictions about the electromagnetic environment based on 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 parameters based on customer goals using the analyzed data, the predictions about the electromagnetic environment, and the training model.
  16. 16 . The system of claim 15 , wherein the AI agent is configured to provide for optimization of L1, L2, and/or L3 parameters.
  17. 17 . The system of claim 15 , wherein the AI agent is configured to include a machine learning algorithm.

Description

CROSS REFERENCES TO RELATED APPLICATIONS This application is related to and claims priority from the following U.S. patents and patent applications. This application is a continuation of U.S. patent application Ser. No. 19/091,059, filed Mar. 26, 2025, which is a continuation of U.S. patent application Ser. No. 18/924,399 filed Oct. 23, 2024, which is a continuation of U.S. patent application Ser. No. 18/646,330 filed Apr. 25, 2024, which is a continuation-in-part of U.S. patent application Ser. No. 18/417,659 filed Jan. 19, 2024, which is a continuation of U.S. patent application Ser. No. 18/411,817 filed Jan. 12, 2024, which is a continuation of U.S. patent application Ser. No. 18/405,531 filed Jan. 5, 2024, which is a continuation of U.S. patent application Ser. No. 18/526,329, filed Dec. 1, 2023, which is a continuation of U.S. patent application Ser. No. 18/237,970, filed Aug. 25, 2023, which is a continuation-in-part of U.S. patent application Ser. No. 18/086,115, filed Dec. 21, 2022, which is a continuation-in-part of U.S. patent application Ser. No. 18/085,904, filed Dec. 21, 2022, which is a continuation of U.S. patent application Ser. No. 18/085,791, filed Dec. 21, 2022, which is a continuation of U.S. patent application Ser. No. 18/085,733, filed Dec. 21, 2022, which is a continuation-in-part of U.S. patent application Ser. No. 17/901,035, filed Sep. 1, 2022, which claims priority to and the benefit of U.S. Provisional Patent Application No. 63/370,184, filed Aug. 2, 2022. Each of the above listed applications is incorporated herein by reference in its entirety. BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to spectrum analysis and management for electromagnetic signals, and more particularly for providing optimized network resources. 2. Description of the Prior Art It is generally known in the prior art to provide wireless communications spectrum management for detecting devices and for managing the space. Spectrum management includes the process of regulating the use of radio frequencies to promote efficient use and gain net social benefit. A problem faced in effective spectrum management is the various numbers of devices emanating wireless signal propagations at different frequencies and across different technological standards. Coupled with the different regulations relating to spectrum usage around the globe effective spectrum management becomes difficult to obtain and at best can only be reached over a long period of time. Another problem facing effective spectrum management is the growing need from spectrum despite the finite amount of spectrum available. Wireless technologies and applications or services that require spectrum have exponentially grown in recent years. Consequently, available spectrum has become a valuable resource that must be efficiently utilized. Therefore, systems and methods are needed to effectively manage and optimize the available spectrum that is being used. Prior art patent documents include the following: U.S. Pat. No. 11,395,149 for System, method, and apparatus for providing dynamic, prioritized spectrum management and utilization by inventor Montalvo, filed Oct. 30, 2020 and issued Jul. 19, 2022, is directed to 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.U.S. Patent Publication No. 2018/0352441 for Devices, methods, and systems with dynamic spectrum sharing by inventors Zheng, et al., filed Jun. 4, 2018 and published Dec. 6, 2018, is directed to devices, methods, and systems with dynamic spectrum sharing. A wireless communication device includes a software-defined radio, a spectrum sensing sub-system, a memory, and an electronic processor. The software-defined radio is configured to generate an input signal, and wirelessly communicate with one or more radio nodes using a traffic data channel and a broadcast control channel. The spectrum sensing sub-system is configured to sense local spectrum information from the input signal. The electronic processor is communicatively connected to the memory and the spectrum sensing sub-system and is configured to receive the local spectrum information from the spectrum sensing sub-system, receive spectrum information from the one or more radio nodes, and allocate resources for the traffic data channel based on the local spectrum information and the spectrum information that is received from the one or more radio nodes.U.S. Patent Publication No. 2018/0295607 for Method and apparatus for adaptive bandwidth usage in