US-12621675-B2 - System, method, and apparatus for providing optimized network resources

US12621675B2US 12621675 B2US12621675 B2US 12621675B2US-12621675-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: 20260505
Application Date: 20250814

Claims (17)

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 in the MEC layer configured to receive measured data from the electromagnetic environment; and wherein the measured data includes detected signal information for at least one signal in the electromagnetic environment; wherein the detected signal information includes a center frequency and bandwidth of at least one signal in the electromagnetic environment; wherein the wireless network resource optimization application is configured to obtain statistical information of the detected signal information and analyze possible interactions based on the center frequency and the bandwidth of the at least one signal in the electromagnetic environment; and at least one RF awareness platform in the MEC layer configured to analyze the measured data from the electromagnetic environment using detection, classification, identification, and/or machine learning (ML) to create RF awareness data; wherein the RF awareness data is represented in a vector ensemble class for each signal in the electromagnetic environment; wherein the wireless network resource optimization application is configured to create a set by adding the possible interactions to the vector ensemble class; and wherein the wireless network resource optimization application is configured to create actionable data for optimizing network resources by combining the set with a customer goals index vector of binary values; 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 customer goals.
2 . The system of claim 1 , further comprising at least one monitoring sensor configured to create the measured data, and wherein the at least one monitoring sensor is included in a base station and/or at least one spectrum monitoring unit.
3 . The system of claim 1 , wherein the actionable data includes data for changing at least one physical layer parameter of one or more customer devices and/or applications.
4 . The system of claim 1 , wherein the MEC layer includes a MEC orchestrator configured to interact as an application function with a network exposure function (NEF).
5 . The system of claim 4 , wherein the NEF is configured to access a policy control function (PCF) configured to manage rules and policies.
6 . The system of claim 4 , wherein the NEF provides network information to the MEC layer.
7 . The system of claim 1 , wherein the wireless network resource optimization application generates at least one radio access network (RAN) command to change at least one RAN parameter.
8 . A system for dynamic spectrum utilization management in an electromagnetic environment comprising: at least one monitoring sensor configured to monitor the electromagnetic environment and to create measured data; a Multi-Access Edge Computing (MEC) layer; and a wireless network resource optimization application in the MEC layer configured to receive the measured data; and wherein the measured data includes detected signal information for at least one signal in the electromagnetic environment; wherein the detected signal information includes a center frequency and bandwidth of at least one signal in the electromagnetic environment; wherein the wireless network resource optimization application is configured to obtain statistical information of the detected signal information and analyze possible interactions based on the center frequency and the bandwidth of the at least one signal in the electromagnetic environment; and at least one RF awareness platform in the MEC layer configured to analyze the measured data from the electromagnetic environment using detection, classification, identification, and/or machine learning (ML) to create RF awareness data; wherein the RF awareness data is represented in a vector ensemble class for each signal in the electromagnetic environment; wherein the wireless network resource optimization application is configured to create a set by adding the possible interactions to the vector ensemble class; and wherein the wireless network resource optimization application is configured to create actionable data for optimizing network resources by combining the set with a customer goals index vector of binary values; 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 customer goals.
9 . The system of claim 8 , wherein the MEC layer includes a MEC orchestrator configured to interact as an application function with a network exposure function (NEF).
10 . The system of claim 9 , wherein the NEF provides network information to the MEC layer.
11 . The system of claim 8 , wherein the wireless network resource optimization application is configured to activate an alarm.
12 . The system of claim 8 , further comprising at least one data analysis engine for analyzing the measured data to create analyzed data, wherein the at least one data analysis engine further includes a detection engine, a learning engine, an identification engine, a classification engine, and/or a geolocation engine.
13 . The system of claim 8 , wherein the wireless network resource optimization application creates the actionable data in real time or in near-real time.
14 . The system of claim 8 , further comprising a machine learning (ML) engine configured to learn the electromagnetic environment and make predictions about the electromagnetic environment.
15 . The system of claim 8 , wherein the at least one monitoring sensor is included in a base station and/or at least one spectrum monitoring unit.
16 . A method for dynamic spectrum utilization management in an electromagnetic environment comprising: obtaining, by a wireless network resource optimization application in a Multi-Access Edge Computing (MEC) layer, measured data for each signal in the electromagnetic environment; obtaining, by the wireless network resource optimization application, statistical information of the measured data and analyzing each signal in the electromagnetic environment for possible interactions based on center frequency or bandwidth; and analyzing, by a RF awareness platform in the MEC layer, the measured data using detection, classification, identification, and/or machine learning (ML) to create RF awareness data; wherein the RF awareness data is represented in a vector ensemble class for each signal in the electromagnetic environment; creating, by the wireless network resource optimization application, a set by adding the possible interactions to the vector ensemble class; and creating, by the wireless network resource optimization application, actionable data for optimization of network resources of a wireless network by combining the set with a customer goals index vector of binary values; wherein the MEC layer is in a network slice or subnetwork in the electromagnetic environment; and 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 customer goals.
17 . The method of claim 16 , further comprising optimizing the network resources by changing at least one physical layer parameter of one or more customer devices and/or applications or by reconfiguring at least one parameter of the wireless network.

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. 19/062,726, filed Feb. 25, 2025, which is a continuation of U.S. patent application Ser. No. 18/825,687, filed Sep. 5, 2024, which is a continuation of U.S. patent application Ser. No. 18/633,934, filed Apr. 12, 2024, which is a continuation of U.S. patent application Ser. No. 18/336,462, filed Jun. 16, 2023, which is a continuation of U.S. patent application Ser. No. 18/101,899, filed Jan. 26, 2023 and issued as U.S. Pat. No. 11,683,695, which is a continuation of U.S. patent application Ser. No. 17/901,035, filed Sep. 1, 2022 and issued as U.S. Pat. No. 11,570,627, which claims priority to and the benefit of U.S. Provisional Patent Application No. 63/370,184, filed Aug. 2, 2022, each of which 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. 11, 2018, is directed to reconfiguration of a receiver bandwidth of the wireless device is initiated to match the second scheduling bandwidth, wherein the second scheduling bandwidth is larger than a first scheduling bandwidth currently associated with the wireless device, and wherein the first and second scheduling bandwidths respectively define the bandwidth used for scheduling transmissions to the wireless device. U.S. Pat. No. 9,538,528 for Efficient co-existence method for dynamic spectrum sharing by inventor