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US Patent 10405219 Network reconfiguration using genetic algorithm-based predictive models

Patent 10405219 was granted and assigned to AT&T Intellectual Property I on September, 2019 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
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Patent attributes

Patent Applicant
AT&T Intellectual Property I
AT&T Intellectual Property I
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Current Assignee
AT&T Intellectual Property I
AT&T Intellectual Property I
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
104052190
Patent Inventor Names
Gregory E. Feldkamp0
Date of Patent
September 3, 2019
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Patent Application Number
158200150
Date Filed
November 21, 2017
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Patent Citations Received
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US Patent 12107742 Machine learning to enhance satellite terminal performance
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US Patent 10740656 Machine learning clustering models for determining the condition of a communication system
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US Patent 10986509 Placement of antennas for fifth generation (5G) or other next generation networks
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US Patent 11062792 Discovering genomes to use in machine learning techniques
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US Patent 11429821 Machine learning clustering models for determining the condition of a communication system
Patent Primary Examiner
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Mong-Thuy T Tran
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Patent abstract

An example method may include a processing system including at least one processor determining a final weight set comprising weight factors to apply to each of a plurality of performance indicators for a predictive model associated with a target performance indicator using a genetic algorithm. The method may further include the processing system gathering a first plurality of measurements of the plurality of performance indicators for at least a portion of a cellular network, applying the predictive model to the first plurality of measurements of the plurality of performance indicators to generate a prediction for the target performance indicator, and adjusting at least one aspect of the cellular network in response to the prediction.

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