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US-20260129717-A1 - EMERGENCY CALLS ON TEXT-ONLY RESTRICTED NETWORKS

US20260129717A1US 20260129717 A1US20260129717 A1US 20260129717A1US-20260129717-A1

Abstract

Methods, devices, and systems related to handling emergency calls in restricted networks are disclosed. In one example aspect, a method for wireless communication includes receiving a request from a user to initiate a call for an emergency using a mobile device and providing a voice message to the user upon determining that the mobile device is operating using a restricted connection. The voice message prompts the user to provide information about the emergency. The method includes converting the information provided by the user to a first set of text messages and transmitting the first set of text messages to an emergency service using the restricted connection.

Inventors

  • Manuel A. Garcia
  • JONGIK LEE
  • Morgan Brittany Mackaay
  • Ahsaan Rizvi
  • Nitin Verma

Assignees

  • T-MOBILE USA, INC.

Dates

Publication Date
20260507
Application Date
20241101

Claims (20)

  1. 1 . A method for wireless communication, comprising: receiving a request from a user to initiate a call for an emergency using a mobile device; providing a voice message to the user upon determining that the mobile device is operating using a satellite connection, wherein the voice message prompts the user to provide information about the emergency, the information comprising voice data from the user; converting the information provided by the user to a first set of text messages, wherein the first set of text messages further comprise location information of the mobile device; and transmitting the first set of text messages to an emergency service using the satellite connection.
  2. 2 . The method of claim 1 , further comprising: receiving a second set of text messages from the emergency service in response to the first set of text messages; and converting the second set of text messages to voice information to the user.
  3. 3 . The method of claim 1 , wherein the information further comprises touchtone selection provided by the user.
  4. 4 . The method of claim 1 , wherein the converting the information comprises: generating the first set of text messages using one or more machine learning modules deployed on the mobile device.
  5. 5 . The method of claim 1 , wherein the location information comprises at least one of: latitude information of the mobile device, longitude information of the mobile device, automatic location identification (ALI), or automatic number identification (ANI).
  6. 6 . The method of claim 1 , comprising: providing a user interface to the user to initiate the call for the emergency, wherein the user interface is same as one for the user to initiate an emergency call using a cellular connection.
  7. 7 . The method of claim 1 , comprising: collecting metrics data associated with the call, wherein the metrics data comprises at least one of: coverage information of the satellite connection, a response time of the call, routing information for the call, or performance information of the mobile device; and transmitting, upon the mobile device operating using a cellular connection, the metrics data to a core network via the cellular connection.
  8. 8 . A device for wireless communication, comprising at least one processor that is configured to cause the device to: receive a request from a user to initiate a call for an emergency; provide a voice message to the user upon determining that the device is operating using a restricted connection, wherein the voice message prompts the user to provide information about the emergency, the information comprising at least voice data from the user; convert the information provided by the user to a first set of messages; and transmit the first set of messages to an emergency service using the restricted connection.
  9. 9 . The device of claim 8 , wherein the at least one processor is configured to cause the device to: receive a second set of messages from the emergency service in response to the first set of messages; and convert the second set of messages to voice information to the user.
  10. 10 . The device of claim 8 , wherein the information further comprises touchtone selection provided by the user.
  11. 11 . The device of claim 8 , wherein the at least one processor is configured to cause the device to convert the information based on: generating the first set of messages using one or more machine learning modules deployed on the device.
  12. 12 . The device of claim 8 , wherein the first set of messages comprises location information of the device, wherein the location information comprises at least one of: latitude information of the device, longitude information of the device, automatic location identification (ALI), or automatic number identification (ANI).
  13. 13 . The device of claim 8 , wherein the at least one processor is configured to cause the device to: provide a user interface to the user to initiate the call for the emergency, wherein the user interface is same as one for the user to initiate an emergency call using a cellular connection.
  14. 14 . The device of claim 8 , wherein the at least one processor is configured to cause the device to: collect metrics data associated with the call, wherein the metrics data comprises at least one of: coverage information of the restricted connection, a response time of the call, routing information for the call, or performance information of the device; and transmit, upon the device operating using a cellular connection, the metrics data to a core network via the cellular connection.
  15. 15 . A non-transitory, computer-readable storage medium comprising instructions recorded thereon, wherein the instructions when executed by at least one processor of a device, cause the device to: receive information about an emergency situation from a user, wherein the information comprises voice data from the user; convert, using one or more machine learning modules, the information comprising at least the voice data to a text message to enable the text message to be transmitted using a satellite connection, wherein the one or more machine learning modules are trained to recognize accent information or one or more languages.
  16. 16 . The non-transitory, computer-readable storage medium of claim 15 , wherein the instructions cause the device to: convert, using the one or more machine learning modules, a response text message to voice information for the user, wherein the response text message is received by the device in response to the information about the emergency situation.
  17. 17 . The non-transitory, computer-readable storage medium of claim 15 , wherein the instructions cause the device to: update the text message by appending locational information of the device to the text message.
  18. 18 . The non-transitory, computer-readable storage medium of claim 15 , wherein the information further comprises touchtone selection information provided by the user.
  19. 19 . The non-transitory, computer-readable storage medium of claim 15 , wherein the instructions cause the device to: filter background noises from the voice data provided by the user.
  20. 20 . The non-transitory, computer-readable storage medium of claim 15 , wherein the one or more machine learning modules are downloaded from a server in a cellular network to be deployed to the device.

Description

BACKGROUND Emergency calling allows police, fire departments, or other first responders to quickly respond to an emergency at a location. Enhanced emergency calling automatically gives the dispatcher the caller's location, if available, to allow timely handling of emergency situations. BRIEF DESCRIPTION OF THE DRAWINGS Detailed descriptions of implementations of the present invention will be described and explained through the use of the accompanying drawings. FIG. 1 is a block diagram that illustrates a wireless communications system that can implement aspects of the present technology. FIG. 2 is a block diagram that illustrates Fifth Generation (5G) core network functions (NFs) that can implement aspects of the present technology. FIG. 3 illustrates an example of how emergency calling works. FIG. 4 illustrates an example of an existing user interface that allows only emergency texts for satellite networks. FIG. 5 illustrates an example flow diagram in accordance with one or more embodiments of the present technology. FIG. 6 illustrates an example Artificial Intelligence (AI)/Machine Learning (ML) system in accordance with one or more embodiments of the present technology. FIG. 7 illustrates an example touchtone translation system integrated into an example AI-based emergency response service in accordance with one or more embodiments of the present technology. FIG. 8A illustrates an example trilateration that leverages information from multiple beams or multiple satellites in accordance with one or more embodiments of the present technology. FIG. 8B illustrates an example of using signal strength from the device to determine the distance between the device and the beam/satellite in accordance with one or more embodiments of the present technology. FIG. 8C illustrates an example of using Bluetooth Low Energy (BLE) advertising among devices in accordance with one or more embodiments of the present technology. FIG. 8D illustrates an example of embedding location information in messages in accordance with one or more embodiments of the present technology. FIG. 9A is a flowchart representation of a method for wireless communication in accordance with one or more embodiments of the present technology. FIG. 9B is a flowchart representation of a method for information conversion in accordance with one or more embodiments of the present technology. FIG. 10 is a block diagram that illustrates an example of a computer system in which at least some operations described herein can be implemented. The technologies described herein will become more apparent to those skilled in the art from studying the Detailed Description in conjunction with the drawings. Embodiments or implementations describing aspects of the invention are illustrated by way of example, and the same references can indicate similar elements. While the drawings depict various implementations for the purpose of illustration, those skilled in the art will recognize that alternative implementations can be employed without departing from the principles of the present technologies. Accordingly, while specific implementations are shown in the drawings, the technology is amenable to various modifications. DETAILED DESCRIPTION Emergency calling allows users in emergency situations to get prompt help from safety agencies. However, for users in rural areas, network connection may be restricted in a sense that only a particular type of low-bandwidth data can be transmitted due to bandwidth limitation, making emergency calls and timely communication of the emergency difficult. This patent document discloses techniques that can be implemented in various embodiments to enable a user to initiate emergency calls as usual when the network connection is restricted. Voice data from the user during the emergency call is converted to low-bandwidth formats such as text messages for transmission in restricted networks. The messages can be further supplemented with locational data for the user device to enable the public safety agents to determine the location of the user more accurately for prompt actions. The description and associated drawings are illustrative examples and are not to be construed as limiting. This disclosure provides certain details for a thorough understanding and enabling description of these examples. One skilled in the relevant technology will understand, however, that the invention can be practiced without many of these details. Likewise, one skilled in the relevant technology will understand that the invention can include well-known structures or features that are not shown or described in detail, to avoid unnecessarily obscuring the descriptions of examples. Wireless Communications System FIG. 1 is a block diagram that illustrates a wireless telecommunication network 100 (“network 100”) in which aspects of the disclosed technology are incorporated. The network 100 includes base stations 102-1 through 102-4 (also referred to individually as “base sta