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US 12,757,029 B2Granted
System, method, and apparatus for providing optimized network resources
AssigneeDigital Global Systems, Inc.
InventorsArmando Montalvo, Khashayar Kotobi
Life of this patent
Estimating the term…
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.
Claims18
A system for spectrum management in an electromagnetic environment comprising:
- a Multi-Access Edge Computing (MEC) layer in a wireless network, wherein the MEC layer is in communication with a core network;
- at least one RF awareness platform in the MEC layer configured to detect, classify, and/or identify at least one signal in the electromagnetic environment using machine learning (ML) to create RF awareness data;
- and
- an artificial intelligence (AI) agent in communication with at least one data analysis engine;
- wherein the AI agent is configured to make predictions about the electromagnetic environment based on the RF awareness data from the at least one RF awareness platform;
- wherein the at least one data analysis engine uses an equalizer to reduce signal interference and/or distortion of the at least one signal in the electromagnetic environment based on a conditional entropy value from at least one other signal in a massive multiple inputs multiple outputs (MIMO) system for preemptive removal of the at least one other signal before equalization and a Kullback-Leibler (KL) Divergence value;
- wherein the data analysis engine is configured to use the predictions about the electromagnetic environment from the AI agent and the equalizer for the equalization and mitigation of signal noise of the at least one signal in the electromagnetic environment in real-time as the electromagnetic environment changes to create analyzed data;
- and
- wherein the at least one data analysis engine is configured to use the RF awareness data from the RF awareness platform and the analyzed data to create actionable data for optimizing network resources in the electromagnetic environment.
6 more elements
A system for spectrum management in an electromagnetic environment comprising:
- a Multi-Access Edge Computing (MEC) layer in a wireless network slice, wherein the MEC layer is in communication with a core network;
- at least one RF awareness platform in the MEC layer configured to detect, classify, and/or identify at least one signal in the electromagnetic environment using machine learning (ML) to create RF awareness data;
- and
- an artificial intelligence (AI) agent in the MEC layer in communication with at least one data analysis engine;
- wherein the AI agent is configured to make predictions about the electromagnetic environment based on the RF awareness data from the at least one RF awareness platform;
- wherein the at least one data analysis engine uses an equalizer to reduce signal interference and/or distortion of the at least one signal in the electromagnetic environment based on a conditional entropy value from at least one other signal in a massive multiple inputs multiple outputs (MIMO) system for preemptive removal of the at least one other signal before equalization and the predictions about the electromagnetic environment;
- wherein the data analysis engine is configured to use the predictions about the electromagnetic environment from the AI agent and the equalizer for the equalization and mitigation of signal noise of the at least one signal in the electromagnetic environment in real-time as the electromagnetic environment changes to create analyzed data;
- and
- wherein the MEC layer is configured to use the RF awareness data from the RF awareness platform and the analyzed data to create actionable data for optimizing network resources.
6 more elements
A system for 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 in a wireless network, wherein the MEC layer is in communication with a core network;
- at least one RF awareness platform in the MEC layer configured to analyze the measured data using detection, classification, identification, and/or machine learning (ML) to create RF awareness data;
- and
- an artificial intelligence (AI) agent in the MEC layer in communication with at least one data analysis engine;
- wherein the AI agent is configured to make predictions about the electromagnetic environment based on the RF awareness data from the RF awareness platform;
- wherein the at least one data analysis engine uses an equalizer to reduce signal interference and/or distortion of the at least one signal based on a conditional entropy value from at least one other signal in a massive multiple inputs multiple outputs (MIMO) system for preemptive removal of the at least one other signal before equalization and a Kullback-Leibler (KL) Divergence value;
- wherein the data analysis engine is configured to use the predictions about the electromagnetic environment from the AI agent and the equalizer for the equalization and mitigation of signal noise of the at least one signal in the electromagnetic environment in real-time as the electromagnetic environment changes to create analyzed data;
- wherein the at least one data analysis engine is configured to use the RF awareness data from the RF awareness platform and the analyzed data to create actionable data for optimizing network resources in the electromagnetic environment;
- and
- wherein the at least one sensor and the at least one data analysis engine are provided in a single chip, a single chipset, or on a single circuit board.
8 more elements
Dependencies are inferred from the claim text.