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US-12627992-B2 - System, method, and apparatus for providing optimized network resources

US12627992B2US 12627992 B2US12627992 B2US 12627992B2US-12627992-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
20250919

Claims (16)

  1. 1 . A system for dynamic spectrum management in an electromagnetic environment comprising: at least one sensor configured to create measured data from the electromagnetic environment; and a Multi-Access Edge Computing (MEC) layer in a network slice; a wireless network resource optimization application in the MEC layer configured to receive the measured data from the at least one sensor; wherein the measured data is represented as a vector ensemble class for each signal in the electromagnetic environment; a data analysis engine configured to identify information in the measured data relevant to customer goals for a customer application to create analyzed data; and a machine learning (ML) engine programmed according to the customer goals for a customer application, wherein the ML engine is configured to make predictions about the electromagnetic environment based on the customer goals and/or the analyzed data; wherein the wireless network resource optimization application is configured to combine the vector ensemble class for each signal in the electromagnetic environment with a customer goals index vector of binary values to create actionable data; wherein each binary value of the customer goals index vector represents whether or not a specific piece of the detected signal information is relevant to satisfying the customer goals; wherein the wireless network resource optimization application is configured to use the actionable data, the analyzed data, and the predictions about the electromagnetic environment from the ML engine for optimizing network resources in the electromagnetic environment.
  2. 2 . The system of claim 1 , wherein the MEC layer is reconfigured through a management and orchestration (MANO) module based on the actionable data.
  3. 3 . The system of claim 1 , wherein the at least one sensor includes at least one software defined radio.
  4. 4 . The system of claim 1 , wherein a MEC host for the MEC layer is deployed at an edge of a radio access network (RAN).
  5. 5 . The system of claim 4 , wherein the RAN includes a real-time control loop for components of the RAN, wherein actions in the real-time control loop occur in less than 10 milliseconds.
  6. 6 . The system of claim 5 , wherein the RAN includes a near real-time RAN intelligent controller (near-RT RIC) configured to provide control or optimization of RAN components and resources.
  7. 7 . The system of claim 6 , wherein the near-RT RIC includes an xApp, wherein the xApp is independent of the near-RT RIC.
  8. 8 . The system of claim 1 , wherein the MEC layer includes a plurality of applications, wherein the plurality of applications are configured to provide streaming services, gaming services, Internet of Things (IoT) services, and vehicle-to-everything (V2X) communications.
  9. 9 . The system of claim 1 , further comprising a slice manager configured to provide a real-time feedback control loop for the network slice.
  10. 10 . The system of claim 9 , wherein the slice manager is connected to virtual network functions (VNFs) configured to provide slice-level management support.
  11. 11 . A system for dynamic spectrum management in an electromagnetic environment comprising: at least one sensor configured to create measured data from the electromagnetic environment; a Multi-Access Edge Computing (MEC) layer; and a wireless network resource optimization application in the MEC layer; wherein the measured data is represented as a vector ensemble class for each signal in the electromagnetic environment; a data analysis engine configured to identify information in the measured data relevant to customer goals for a customer application to create analyzed data; and a machine learning (ML) engine programmed according to the customer goals for a customer application, wherein the ML engine is configured to make predictions about the electromagnetic environment based on the customer goals and/or the analyzed data; wherein the wireless network resource optimization application is configured to combine the vector ensemble class for each signal in the electromagnetic environment with a customer goals index vector of binary values to create actionable data; wherein each binary value of the customer goals index vector represents whether or not a specific piece of the detected signal information is relevant to satisfying the customer goals; wherein the wireless network resource optimization application is configured to use the actionable data, the analyzed data, and the predictions about the electromagnetic environment from the ML engine for optimizing network resources in the electromagnetic environment.
  12. 12 . The system of claim 11 , a wireless network resource optimization application configured to receive the measured data from the at least one sensor.
  13. 13 . The system of claim 11 , wherein the analyzed data includes data relating to detection or analysis of an anomalous signal.
  14. 14 . A method for dynamic spectrum management in an electromagnetic environment comprising: at least one sensor creating measured data from the electromagnetic environment; a wireless network resource optimization application in a Multi-Access Edge Computing (MEC) layer receiving the measured data from the at least one sensor; wherein the measured data is represented as a vector ensemble class for each signal in the electromagnetic environment; a data analysis engine identifying information in the measured data relevant to customer goals for a customer application to create analyzed data; and a machine learning (ML) engine programmed according to the customer goals for a customer application, making predictions about the electromagnetic environment based on the customer goals and/or the analyzed data; the wireless network resource optimization application combining the vector ensemble class for each signal in the electromagnetic environment with a customer goals index vector of binary values to create actionable data; wherein each binary value of the customer goals index vector represents whether or not a specific piece of the detected signal information is relevant to satisfying the customer goals; the wireless network resource optimization application using the actionable data, the analyzed data, and the predictions about the electromagnetic environment from the ML engine for optimizing network resources in the electromagnetic environment.
  15. 15 . The method of claim 14 , further comprising a management and orchestration (MANO) module reconfiguring the MEC layer based on the actionable data provided by the wireless network resource optimization application.
  16. 16 . The method of claim 14 , wherein the wireless network resource optimization application allows the MEC layer to generate radio access network (RAN) commands to change appropriate RAN parameters based on the actionable data.

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. 19/088,344, filed Mar. 24, 2025, which is a continuation of U.S. patent application Ser. No. 18/927,218, filed Oct. 25, 2024, which is a continuation of U.S. patent application Ser. No. 18/749,079, filed Jun. 20, 2024, which is a continuation of U.S. patent application Ser. No. 18/417,634, filed Jan. 19, 2024, which is a continuation of U.S. patent application Ser. No. 18/415,209, filed Jan. 17, 2024, which is a continuation of U.S. patent application Ser. No. 18/405,622, filed Jan. 5, 2024, which is a continuation of U.S. patent application Ser. No. 18/240,132, filed Aug. 30, 2023, which is a continuation 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 a wireless communication network by inventors Lindoff, et al., filed Oct. 10, 2017 and published Oct.