Cellular system
A system includes one or more antennas; and a processor coupled to the antennas in communication with a predetermined target using 5G protocols.
1. A system, comprising:
one or more antennas formed as part of a case where at least one antenna shape changes according to a predetermined frequency;
one or more transceivers coupled to the one or more antennas; and
a processor coupled to the one or more transceivers and one or more antennas in communication with a predetermined target using 5G protocols, wherein the processor controls MEMS actuators or motors coupled to the antennas.
2. The system of claim 1 , wherein the processor calibrates a radio link between a remote transceiver and the one or more transceivers.
3. The system of claim 1 , wherein the processor is wirelessly coupled to fiber optics cable to communicate with a cloud-based radio access network (RAN) or a remote RAN.
4. The system of claim 1 , comprising an edge neural network that performs predictive maintenance, remote monitoring, video surveillance, voice processing, behavior analytics, situational awareness, and contextual awareness.
5. The system of claim 1 , comprising an edge processor that performs predictive maintenance, remote monitoring, video surveillance, voice processing, behavior analytics, situational awareness, and contextual awareness wherein one of the 3D printed antennas comprises a moveable shape.
6. The system of claim 1 , wherein the case comprises one or more surfaces to act as at least one antenna thereon.
7. The system of claim 1 , wherein each antenna is independently steerable.
8. The system of claim 1 , comprising one or more Fresnel lenses to improve signal to noise ratio (SNR).
9. The system of claim 1 , wherein processor focuses 5G signals with iterative changes in orientations of the antennas.
10. The system of claim 1 , comprising a neural network coupled to a control plane, a management plane, or a data plane to optimize 5G parameters.
11. The system of claim 1 , wherein the remote transceiver comprises a drop in replacement housing to upgrade 3G or 4G components to SG or 6G components.
12. The system of claim 1 , comprising a camera for individual identity identification.
13. The system of claim 1 , wherein the processor analyzes walking gaits and facial features for identity identification.
14. The system of claim 1 , wherein the processor analyzes sound captured using a microphone to determine events in progress.
15. The system of claim 1 , comprising an edge processor to provide local edge processing for Internet-of-Things (TOT) sensors.
16. 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.
17. The system of claim 1 , wherein the processor communicates a person to vehicle (P2V) or a vehicle to person (V2P) safety message.
18. The system of claim 1 , comprising a cloud trained neural network whose network parameters are reduced before transferring to the edge neural network.
19. A system, comprising:
one or more antennas formed as part of a case where at least one antenna shape changes according to a predetermined frequency;
one or more transceivers coupled to the one or more antennas; and
a processor coupled to the one or more transceivers and one or more antennas in communication with a predetermined target using 5G protocols, wherein the processor controls MEMS actuators coupled to a liquid antenna.
20. A system, comprising:
one or more antennas formed as part of a case where at least one antenna shape changes according to a predetermined frequency;
one or more transceivers coupled to the one or more antennas; and
a processor coupled to the one or more transceivers and one or more antennas in communication with a predetermined target using 5G protocols, wherein at least one antenna comprises a liquid antenna.