Systems, methods, and apparatuses for implementing machine learning model training and deployment with a rollback mechanism
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Methods, systems, and computer program products for optimizing a predictive model for mobile network communications based on historical context information
US11096063B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11096063-B2 |
| Application number | US-201815967379-A |
| Country | US |
| Kind code | B2 |
| Filing date | Apr 30, 2018 |
| Priority date | Jul 31, 2014 |
| Publication date | Aug 17, 2021 |
| Grant date | Aug 17, 2021 |
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Abstract
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Methods and systems are described for optimizing a predictive model for mobile network communications based on historical context information. In one aspect, historical context information is collected including at least one of communication environment, communication parameter estimates, mobile device statistics, mobile device transmit settings, base station receiver settings, past network statistics and settings, and adjacent network node information statistics and settings, the historical context information including data from communications of at least one mobile device. A predictive model for network communications is determined based on the historical context information. A communication context for a first mobile device different than the at least one mobile device is determined. The first device is scheduled and/or network parameters are set based on the determined predictive model and communication context.
First claim
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What is claimed is: 1. A method for optimizing a predictive model for mobile network communications based on historical context information, the method comprising: by a node of a mobile network communications system, the node including a processor and memory: collecting historical context information including at least one of communication environment, communication parameter estimates, mobile device statistics, mobile device transmit settings, base station receiver settings, pas…
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- What does patent US11096063B2 cover?
- Methods and systems are described for optimizing a predictive model for mobile network communications based on historical context information. In one aspect, historical context information is collected including at least one of communication environment, communication parameter estimates, mobile device statistics, mobile device transmit settings, base station receiver settings, past network sta…
- Who is the assignee on this patent?
- Collision Comm Inc
- What technology area does this patent fall under?
- Primary CPC classification H04W16/22. Mapped technology areas include Electricity.
- When was this patent published?
- Publication date Tue Aug 17 2021 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
- What related patents are in patentsdb?
- We list 10 related publications on this page (citations in our corpus or others sharing the same primary CPC).