Cellular system

Patent metadata

Field	Value
Publication number	US-12027780-B2
Application number	US-202318125109-A
Country	US
Kind code	B2
Filing date	Mar 22, 2023
Priority date	May 7, 2019
Publication date	Jul 2, 2024
Grant date	Jul 2, 2024

Abstract

A system includes one or more antennas and a processor to communicate with a predetermined target using 5G or 6G protocols.

First claim

What is claimed is:

1. A system, comprising:
one or more sensors coupled to equipment to monitor equipment operation;
one or more 5G antennas;
one or more 5G transceivers coupled to the one or more 5G antennas;
a processor to control the one or more 5G transceivers in communication with the one or more sensors; and
a neural network or an artificial intelligence (AI) processor coupled to the processor;
a control plane coupled to the neural network;
a management plane coupled to the neural network; and
a data plane coupled to the neural network, wherein the neural network receives cellular network statistics for training, and during run-time, the neural network provides operating parameters to the data, control and management planes.

2. The system of claim 1 , comprising a remote processor to perform predictive maintenance based on sensor output indicating a potential breakdown.

3. The system of claim 1 , comprising a remote processor to track equipment performance over time to predict a potential maintenance issue before they occur.

4. The system of claim 1 , wherein the transceiver connects sensors, machines or robots.

5. The system of claim 1 , wherein one or more sensors are at the edge to communicate with equipment.

6. The system of claim 1 , comprising maintaining equipment based on statistics for wear rates or sensed equipment operation over time.

7. The system of claim 1 , comprising an Internet of Things (IoT) device wirelessly coupled to the processor.

8. The system of claim 1 , comprising a remote processor to compare real-time data from sensors on connected equipment to an equipment history.

9. The system of claim 1 , comprising a remote processor and AI predictive analytics to request predictive maintenance.

10. The system of claim 1 , comprising one or more cameras and sensors to capture security information.

11. The system of claim 1 , comprising a camera for identity identification.

12. The system of claim 1 , wherein the processor analyzes walking gaits and facial features for identity identification.

13. The system of claim 1 , wherein the processor analyzes sound captured using a microphone to determine events in progress.

14. The system of claim 1 , comprising an edge processor to provide local edge processing for Internet-of-Things (IOT) sensors.

15. 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.

16. The system of claim 1 , comprising a cellular device for a person crossing a street near a city light or street light, the cellular device emitting a person to vehicle (P2V) or a vehicle to person (V2P) safety message.

17. The system of claim 1 , comprising a cloud trained neural network whose network parameters are down-sampled or count reduced before transferring to an edge neural network.

18. The system of claim 1 , comprising a display to overlay one or more digital elements onto the real world.

19. The system of claim 18 , comprising code to determine cellular transceiver location determination based on nearby device locations.

20. The system of claim 1 , comprising a flexible antenna surface.

Assignees

• Tran Bao
• Tran Ha

Inventors

• Tran Bao
• Tran Ha

Classifications

• H04B17/309

  Measuring or estimating channel quality parameters · CPC title

• G06N3/082

  modifying the architecture, e.g. adding, deleting or silencing nodes or connections · CPC title

• G06N3/0495

  Quantised networks; Sparse networks; Compressed networks · CPC title

• G06N3/09

  Supervised learning · CPC title

• G06N3/096

  Transfer learning · CPC title