# US 12,192,778 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 12,192,778 B2 - Document ID: US12192778B2 - Status: Granted - Kind: B2 - Application number: 18/810,927 - Filed: 2024-08-21 - Published: 2024-12-12 - Granted: 2025-01-07 - Earliest claimed: 2022-08-02 - Assignees: Digital Global Systems, Inc. - Applicants: Digital Global Systems, Inc. - Inventors: Armando Montalvo - Web page: https://patentgrep.com/patent/US12192778B2 ## 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 28/0925: {using policies} - H04W 28/0967: {Quality of Service [QoS] parameters} - H04W 72/0453: Resources in frequency domain, e.g. a carrier in FDMA - H04W 16/14: Spectrum sharing arrangements {between different networks} - H04W 88/085: {Access point devices with remote components} - 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 spectrum utilization management in an electromagnetic environment comprising: a radiofrequency (RF) analysis engine operable to analyze measured RF data from at least one sensor unit to create analyzed data and physical layer data; and a machine learning engine (ML) operable to use the analyzed data to make predictions about the electromagnetic environment and/or identify physical layer resources required for at least one application; wherein the at least one sensor unit and the RF analysis engine are provided on a chip, a chipset, multiple chips, multiple chipsets, or on a circuit board; wherein a user equipment (UE) device is operable to perform physical layer functions; wherein the system is operable to optimize the physical layer by slice or customer; wherein the physical layer data is used to create actionable data for spectrum sharing in the electromagnetic environment; and wherein the RF analysis engine includes a Fast Fourier Transform (FFT) engine operable to provide for a duty cycle using four streams and one second per stream to reduce calculations and provide for increased real-time sampling. ### Claim 2 (depends on 1) The system of claim 1, wherein the system provides for acceleration of functions of the physical layer for look aside hardware configurations. ### Claim 3 (depends on 1) The system of claim 1, wherein the system provides for acceleration of functions of the physical layer for in-line hardware configurations. ### Claim 4 (depends on 1) The system of claim 1, wherein the system is operable to provide for channel extraction. ### Claim 5 (depends on 1) The system of claim 1, wherein the system is operable to provide data link layer aggregation of multiple layer 1 data from several radio units per distributed unit. ### Claim 6 (depends on 1) The system of claim 1, wherein the actionable data for spectrum sharing in the electromagnetic environment includes actionable data for beam forming. ### Claim 7 (depends on 1) The system of claim 1, wherein the system is operable to aggregate a plurality of radio access network resources associated with the slice or a customer subnetwork. ### Claim 8 (depends on 7) The system of claim 7, wherein the system is operable to optimize the plurality of radio access network resources based on the electromagnetic environment and a quality of service required by the at least one application. ### Claim 9 (depends on 1) The system of claim 1, wherein the RF analysis engine includes an In-Phase/Quadrature (I/Q) buffer. ### Claim 10 (depends on 1) The system of claim 1, wherein the at least one sensor unit further includes a programmable rules and policy editor, wherein the programmable rules and policy editor is operable to communicate the physical layer data to a Multi-Access Edge Computing (MEC) layer. ### Claim 11 (depends on 1) The system of claim 1, wherein the physical layer data is used to create actionable data for spectrum sharing in the electromagnetic environment in real time. ### Claim 12 (depends on 1) The system of claim 1, wherein the at least one sensor unit is operable to perform data link aggregation of multiple physical layer data from multiple radio units. ### Claim 13 (depends on 1) The system of claim 1, wherein the UE device is operable to change at least one physical layer parameter based on the physical layer data. ### Claim 14 (depends on 1) The system of claim 1, wherein the actionable data for spectrum sharing in the electromagnetic environment includes actionable data for real-time, dynamic spectrum sharing in the electromagnetic environment. ### Claim 15 (depends on 1) The system of claim 1, wherein the chip, the chipset, the multiple chips, the multiple chipsets, or the circuit board is operable to perform In-Phase & Quadrature conditioning, channelization, a priori detection, utilization mask, anomaly detection and flagging, and/or moments-blind classification. ### Claim 16 A system for spectrum utilization management in an electromagnetic environment comprising: a radiofrequency (RF) analysis engine operable to analyze or process measured RF data to create analyzed data and physical layer data; and a machine learning engine (ML) operable to use the analyzed data to make predictions about the electromagnetic environment and/or identify physical layer resources required for at least one application; wherein the physical layer data is used to create actionable data for real-time, dynamic spectrum sharing in the electromagnetic environment; wherein a user equipment (UE) device is operable to change at least one physical layer parameter based on the physical layer data or the actionable data for real-time, dynamic spectrum sharing in the electromagnetic environment; and wherein the RF analysis engine includes a Fast Fourier Transform (FFT) engine operable to provide for a duty cycle using four streams and one second per stream to reduce calculations and provide for increased real-time sampling. ### Claim 17 (depends on 16) The system of claim 16, wherein the actionable data for real-time, dynamic spectrum sharing in the electromagnetic environment includes actionable data for beam forming. ### Claim 18 (depends on 16) The system of claim 16, wherein the at least one sensor unit further includes a programmable rules and policy editor, wherein the programmable rules and policy editor is operable to communicate the physical layer data to a Multi-Access Edge Computing (MEC) layer. ### Claim 19 A system for spectrum utilization management in an electromagnetic environment comprising: a radiofrequency (RF) analysis engine operable to analyze measured RF data from at least one sensor unit to create analyzed data and physical layer data; and a machine learning engine (ML) operable to use the analyzed data to make predictions about the electromagnetic environment and/or identify physical layer resources required for at least one application; wherein a user equipment (UE) device is operable to perform physical layer functions; wherein the physical layer data is used to create actionable data for spectrum sharing in the electromagnetic environment; and wherein the RF analysis engine includes a Fast Fourier Transform (FFT) engine operable to provide for a duty cycle using four streams and one second per stream to reduce calculations and provide for increased real-time sampling. ### Claim 20 (depends on 19) The system of claim 19, wherein the system is operable to optimize the physical layer by slice or customer.