Facilitating dynamic satellite and mobility convergence for mobility backhaul in advanced networks
US-11171719-B2 · Nov 9, 2021 · US
Cellular system
US12261376B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-12261376-B2 |
| Application number | US-202318129011-A |
| Country | US |
| Kind code | B2 |
| Filing date | Mar 30, 2023 |
| Priority date | May 7, 2019 |
| Publication date | Mar 25, 2025 |
| Grant date | Mar 25, 2025 |
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- Title
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- Abstract
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Abstract
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A system includes one or more antennas and a processor to communicate with a predetermined target using 5G or 6G protocols.
First claim
Opening claim text (preview).
What is claimed is: 1. A system, comprising: one or more sensors coupled to equipment; one or more 5G antennas; one or more 5G transceivers coupled to the one or more 5G antennas; and a processor to control the one or more 5G transceivers in a predetermined latency communication with the one or more sensors, and wherein the processor prioritizes data transmission for data service over video streaming; and a learning machine or a neural network coupled to the processor to allocate one or more wireless or antenna network resources to deliver the predetermined latency communication. 2. The system of claim 1 , comprising a remote edge processor to offload processing or to perform predictive maintenance based on sensor output. 3. The system of claim 1 , comprising a data center to offload processing or to track equipment performance over time. 4. The system of claim 1 , wherein the one or more 5G transceivers communicates with one or more robots. 5. The system of claim 1 , wherein the one or more sensors are positioned at the edge. 6. The system of claim 1 , comprising maintaining equipment based on camera analysis for wear rates or sensed equipment operation over time. 7. The system of claim 1 , comprising a camera coupled to the neural network to perform artificial intelligence (AI) predictive maintenance. 8. The system of claim 1 , comprising an edge processor or a data center remotely coupled to the processor. 9. The system of claim 1 , comprising an edge processor or a data center to proactively trigger maintenance activities based on sensor or video outputs indicating a potential breakdown. 10. The system of claim 1 , comprising a remote processor in communication with the processor to perform artificial intelligence (AI) analytics or to perform augmented or virtual reality processing. 11. The system of claim 1 , comprising one or more cameras and sensors to capture and process augmented or virtual reality video information. 12. The system of claim 1 , comprising an artificial intelligence (AI) controlled beamformer controlling communication with the transceiver. 13. The system of claim 1 , comprising an edge processor to provide local edge processing for Internet-of-Things (IOT) sensors. 14. The system of claim 1 , comprising an edge learning machine that uses pre-trained models and modifies the pre-trained models for a selected task.
Assignees
Inventors
Classifications
Measuring or estimating channel quality parameters · CPC title
modifying the architecture, e.g. adding, deleting or silencing nodes or connections · CPC title
Quantised networks; Sparse networks; Compressed networks · CPC title
Supervised learning · CPC title
Transfer learning · CPC title
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Frequently asked questions
Answers are generated from the same data shown on this page.
- What does patent US12261376B2 cover?
- A system includes one or more antennas and a processor to communicate with a predetermined target using 5G or 6G protocols.
- Who is the assignee on this patent?
- Tran Bao, Tran Ha, Fractal Networks LLC
- What technology area does this patent fall under?
- Primary CPC classification H01Q1/44. Mapped technology areas include Electricity.
- When was this patent published?
- Publication date Tue Mar 25 2025 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 5 related publications on this page (citations in our corpus or others sharing the same primary CPC).