Accessing a mobile communication network using a user identifier
US-2022345887-A1 · Oct 27, 2022 · US
US12143825B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-12143825-B2 |
| Application number | US-202017081662-A |
| Country | US |
| Kind code | B2 |
| Filing date | Oct 27, 2020 |
| Priority date | Oct 27, 2020 |
| Publication date | Nov 12, 2024 |
| Grant date | Nov 12, 2024 |
A practical reading order for non-experts. Skip the full description unless you need deep technical detail.
What the patent document calls the invention.
A short plain-language summary of the technical disclosure.
Who owns or filed the patent and who is credited as inventor.
Filing, priority, publication, and grant dates set the timeline.
The legal scope of protection — read this for what is actually claimed.
Technology tags used to group this patent with similar filings.
Prior art links and similar publications in this corpus.
Official abstract text for this publication.
One example method includes an optimized approach to real-time utilization, data transfer, data storage, and transience in a T Hz-enabled zone that may be implemented in edge networks, data management, and machine learning. Multiple policies can be enforced based on new sets of attributes such as data type, location, and device movement within a zone or between zones.
Opening claim text (preview).
What is claimed is: 1. A method, comprising: deploying an application in a zone that includes a wireless network, wherein the zone includes permanent devices; predicting that a transient device is about to enter the zone based on machine learning; preparing for the transient device by including additional processing services to support data from the transient device; determining, by a supervisor operating in the zone, that the transient device has entered the zone; registering the transient device in a register maintained by the supervisor, wherein the supervisor designates the transient device as zone accessible enabling the application to be permitted to access the transient device for functions including data access and data storage; marking the transient device as available when the transient device is in the zone, wherein the transient device comprises a root level access point enabling computing resources of the transient device to be accessible by the permanent devices as if the computing resources of the transient device are local to the permanent devices for the data access and data storage functions when the transient device is marked as available in the zone; determining a policy associated with the transient device and enabling the permanent devices to access the transient device in accordance with the policy; and accessing the transient device to download the data from the transient device to at least one permanent device or to upload second data to the transient device. 2. The method of claim 1 , wherein predicting that the transient device is about to enter the zone is further based on using secondary sources including one or more of GPS data, calendar data, map data. 3. The method of claim 1 , further comprising preparing for the transient asset by scaling up computing resources. 4. The method of claim 1 , wherein the machine learning is trained using historical telemetry data associated with the transient asset including zone entry times, zone exit times and zone duration times. 5. The method of claim 1 , further comprising establishing secondary streams in the zone for assets associated with the transient device. 6. The method of claim 1 , further comprising running a proxy service at each of the permanent devices. 7. The method of claim 1 , wherein the network is a TeraHertz enabled network. 8. The method of claim 1 , further comprising deduplicating data stored in the zone after transfer to/from the transient device is completed. 9. The method of claim 1 , further comprising performing one or more of a prediction service, a history service, a deployment service, a transient device service, and a permanent device service. 10. A non-transitory storage medium having stored therein instructions that are executable by one or more hardware processors to perform operations comprising: deploying an application in a zone that includes a wireless network, wherein the zone includes permanent devices; predicting that a transient device is about to enter the zone based on machine learning; preparing for the transient device by including additional processing services to support data from the transient device; determining, by a supervisor operating in the zone, that the transient device has entered the zone; registering the transient device in a register maintained by the supervisor, wherein the supervisor designates the transient device as zone accessible enabling the application to be permitted to access the transient device for functions including data access and data storage; marking the transient device as available when the transient device is in the zone, wherein the transient device comprises a root level access point enabling computing resources of the transient device to be accessible by the permanent devices as if the computing resources of the transient device are local to the permanent devices for the data access and data storage functions when the transient device is marked as available in the zone; determining a policy associated with the transient device and enabling the permanent devices to access the transient device in accordance with the policy; and accessing the transient device to download the data from the transient device to at least one permanent device or to upload second data to the transient device. 11. The non-transitory storage medium of claim 10 , wherein predicting that the transient device is about to enter the zone is further based on using secondary sources including one or more of GPS data, calendar data, map data. 12. The non-transitory storage medium of claim 10 , further comprising preparing for the transient asset by scaling up computing resources. 13. The non-transitory storage medium of claim 10 , wherein the machine learning is trained using historical telemetry data associated with the transient asset including zone entry times, zone exit times and zone duration times. 14. The non-transitory storage medium of claim 10 , further comprising establishing secondary streams in the zone for assets associated with the transient device. 15. The non-transitory storage medium of claim 10 , further comprising running a proxy service at each of the permanent devices. 16. The non-transitory storage medium of claim 10 , further comprising transporting data from the zone to another zone by the transient device. 17. The non-transitory storage medium of claim 10 , further comprising deduplicating data stored in the zone after transfer to/from the transient device is completed. 18. The non-transitory storage medium of claim 10 , further comprising performing one or more of a prediction service, a history service, a deployment service, a transient device service, and a permanent device service.
Related publications grouped by family.
Answers are generated from the same data shown on this page.