# US 12,120,528 B2 · System, method, and apparatus for providing optimized network resources > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 12,120,528 B2 - Document ID: US12120528B2 - Status: Granted - Kind: B2 - Application number: 18/633,934 - Filed: 2024-04-12 - Published: 2024-08-01 - Granted: 2024-10-15 - Earliest claimed: 2022-08-02 - Assignees: Digital Global Systems, Inc. - Applicants: Digital Global Systems, Inc. - Inventors: Armando Montalvo - Web page: https://patentgrep.com/patent/US12120528B2 ## CPC - H04W 16/10: Dynamic resource partitioning - H04W 24/02: Arrangements for optimising operational condition - H04W 24/08: Testing, {supervising or monitoring} using real traffic - H04W 24/10: Scheduling measurement reports {; Arrangements for measurement reports} - H04W 28/24: Negotiating SLA [Service Level Agreement]; Negotiating QoS [Quality of Service] - H04W 16/14: Spectrum sharing arrangements {between different networks} - H04W 24/04: Arrangements for maintaining operational condition - H04W 28/0268: {using specific QoS parameters for wireless networks, e.g. QoS class identifier [QCI] or guaranteed bit rate [GBR] (negotiating SLA or negotiating QoS H04W28/24)} - H04W: WIRELESS COMMUNICATION NETWORKS (broadcast communication H04H; communication systems using wireless links for non-selective communication, e.g. wireless extensions H04M1/72) ## 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. ## Claims ### Claim 1 A system for dynamic spectrum utilization management in an electromagnetic environment comprising: at least one radio access network (RAN) interface; at least one monitoring sensor operable to monitor the electromagnetic environment and to create measured data; a Multi-Access Edge Computing (MEC) layer in a network slice or a subnetwork; wherein the MEC layer is in communication with the RAN and a core network; wherein the MEC layer includes a wireless network resource optimization application configured to receive the measured data, wherein the wireless network resource optimization application includes at least one data analysis engine for analyzing the measured data; wherein the analyzed data is represented in a vector ensemble class for each signal in the electromagnetic environment; wherein the at least one data analysis engine includes a learning engine, and wherein the learning engine is operable to learn the electromagnetic environment; wherein the wireless network resource optimization application is operable to use analyzed data from the at least one data analysis engine to create actionable data for optimizing network resources; wherein the wireless network resource optimization application is operable to optimize network resources of the wireless network based on a customer goals index vector, wherein the customer goals index vector is a vector of binary values; wherein the wireless network resource optimization application utilizes a constraint vector; wherein the MEC layer includes a MEC orchestrator operable to interact as an application function with a network exposure function (NEF); wherein the at least one RAN interface is operable to provide resource allocation recommendations; and wherein the data analysis engine further includes a detection engine, an identification engine, a classification engine, and/or a geolocation engine. ### Claim 2 (depends on 1) The system of claim 1, wherein the NEF provides network information to the MEC layer. ### Claim 3 (depends on 1) The system of claim 1, wherein the network resources are optimized by reconfiguring at least one parameter of a network. ### Claim 4 (depends on 1) The system of claim 1, wherein the network resources are optimized by changing at least one physical layer parameter of one or more customer devices and/or applications. ### Claim 5 (depends on 1) The system of claim 1, wherein the at least one monitoring sensor is included in a base station and/or at least one spectrum monitoring unit. ### Claim 6 (depends on 1) The system of claim 1, wherein the wireless network resource optimization application is operable to activate an alarm. ### Claim 7 (depends on 1) The system of claim 1, wherein the NEF is configured to access a policy control function (PCF) operable to manage rules and policies. ### Claim 8 (depends on 1) 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. ### Claim 9 (depends on 1) The system of claim 1, wherein the wireless network resource optimization application creates the actionable data in real time or in near-real time. ### Claim 10 (depends on 1) The system of claim 1, wherein the wireless network resource optimization application is operable to create the actionable data for one or more customers simultaneously. ### Claim 11 A system for dynamic spectrum utilization management in an electromagnetic environment comprising: at least one radio access network (RAN) interface; at least one monitoring sensor operable to monitor the electromagnetic environment and to create measured data; a Multi-Access Edge Computing (MEC) layer in a network slice or a subnetwork; wherein the MEC layer is in communication with the RAN and a core network; wherein the MEC layer includes a wireless network resource optimization application configured to receive the measured data, wherein the wireless network resource optimization application includes at least one data analysis engine for analyzing the measured 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 analyzed data from the at least one data analysis engine to create actionable data for optimizing network resources; wherein the wireless network resource optimization application is operable to optimize network resources of the wireless network based on a customer goals index vector, wherein the customer goals index vector is a vector of binary values; wherein the MEC layer includes a MEC orchestrator operable to interact as an application function with a network exposure function (NEF); and wherein the at least one RAN interface is operable to provide resource allocation recommendations. ### Claim 12 (depends on 11) The system of claim 11, wherein the NEF provides network information to the MEC layer. ### Claim 13 (depends on 11) The system of claim 11, wherein the wireless network resource optimization application is operable to activate an alarm. ### Claim 14 (depends on 11) The system of claim 11, wherein the at least one data analysis engine further includes a detection engine, an identification engine, a classification engine, and/or a geolocation engine. ### Claim 15 (depends on 11) The system of claim 11, wherein the wireless network resource optimization application creates the actionable data in real time or in near-real time. ### Claim 16 (depends on 11) The system of claim 11, wherein the wireless network resource optimization application is operable to create the actionable data for one or more customers simultaneously. ### Claim 17 (depends on 11) The system of claim 11, wherein the at least one monitoring sensor is included in a base station and/or at least one spectrum monitoring unit. ### Claim 18 A method for dynamic spectrum utilization management in an electromagnetic environment comprising: providing at least one radio access network (RAN) interface; providing a Multi-Access Edge Computing (MEC) layer in a network slice or a subnetwork, wherein the MEC layer is in communication with the RAN and a core network; providing a wireless network resource optimization application in the MEC layer, wherein the wireless network resource optimization application includes at least one data analysis engine for analyzing measured data, wherein the wireless network resource optimization application utilizes a constraint vector; monitoring the electromagnetic environment using at least one monitoring sensor to create the measured data; analyzing the measured data using the at least one data analysis engine to create analyzed data, wherein the at least one data analysis engine includes a learning engine; wherein the analyzed data is represented in a vector ensemble class for each signal in the electromagnetic environment; learning the electromagnetic environment using the learning engine; the wireless network resource optimization application using analyzed data from the at least one data analysis engine to create actionable data; optimizing network resources using the actionable data based on a customer goals index vector, wherein the customer goals index vector is a vector of binary values; and the at least one RAN interface providing resource allocation recommendations. ### Claim 19 (depends on 18) The method of claim 18, wherein the at least one monitoring sensor is included in a base station and/or at least one spectrum monitoring unit. ### Claim 20 (depends on 18) The method of claim 18, further including 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 a network.