Cellular system

1. A system, comprising:

one or more sensors coupled to equipment to monitor operation and wirelessly coupled to a learning machine;

one or more shape changing 5G antennas dynamically modifying frequency and radiation properties of the 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 to control one of the 5G antennas to modify the frequency and radiation properties and wherein the processor either performs Network Function Virtualization (NFV), or controls a Cloud RAN (CRAN) to support a function split.

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

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 , comprising a remote processor to proactively trigger maintenance activities based on sensor outputs indicating a potential breakdown.

6. The system of claim 1 , comprising an augmented reality device or a virtual reality device to communicate maintenance information to a user.

7. A system, comprising:

one or more sensors coupled to equipment and coupled to a remote learning machine to monitor operation;

one or more 5G shape changing antennas that is self-reconfigurable by dynamically modifying frequency and radiation properties of the 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 communication with the one or more sensors; and

a radio access network (RAN) with at least a radio beam tilted on a per-carrier basis based on active channel loading using software, a self-organizing network (SON), or a neural network.

8. A system, comprising:

one or more movable platforms, motors or actuators with one or more sensors to monitor operation;

one or more 5G shape changing antennas dynamically modifying frequency and radiation properties of the one or more 5G antennas;

one or more 5G transceivers coupled to the one or more sensors and the one or more 5G antennas; and

a processor to control the one or more 5G transceivers in communication with the one or more sensors; and

a learning machine receiving sensor data.

9. The system of claim 8 , comprising an augmented reality device or a virtual reality device to communicate maintenance information to a user.

10. The system of claim 8 , wherein the processor analyzes vibration, sound, or video to predict the failure or maintenance issue.

11. The system of claim 8 , wherein the learning machine comprises an edge learning machine that uses pre-trained models and modifies the pre-trained models for a selected task.

12. A system, comprising:

one or more sensors coupled to equipment to monitor operation;

one or more shape changing 5G antennas that is self-reconfigurable by dynamically modifying frequency and radiation properties of the 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 communication with the one or more sensors and further comprises a cloud trained neural network whose network parameters are down-sampled or filter count reduced before transfer to an edge neural network to predict failure or a maintenance issue.

13. The system of claim 12 , comprising maintaining equipment based on statistics for wear rates or sensed equipment operation over time.

14. The system of claim 12 , comprising an augmented reality device or a virtual reality device to communicate maintenance information to a user.

15. The system of claim 12 , comprising an Internet of Things (IoT) device wirelessly coupled to the processor.

16. The system of claim 12 , comprising a remote processor to compare real-time data from sensors on connected equipment to an equipment history.

17. The system of claim 12 , comprising one or more cameras to capture equipment operation.

18. The system of claim 12 , comprising a camera and an augmented reality device or a virtual reality device to communicate maintenance information to a user.

19. The system of claim 12 , wherein the processor analyzes sound captured using a microphone to determine events in progress.

20. The system of claim 12 , wherein the processor comprises an edge processor to provide local edge processing for Internet-of-Things (IOT) sensors.