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US-20260128811-A1 - WIRELESS SIGNAL STRENGTH INDICATIONS

US20260128811A1US 20260128811 A1US20260128811 A1US 20260128811A1US-20260128811-A1

Abstract

Apparatuses, systems, and techniques to cause one or more directions of travel to be indicated to a user in order to improve wireless signal strength. In at least one embodiment, one or more directions of travel are indicated to a device in order to improve wireless signal strength, based on, for example, wireless signal strength values obtained by said device at one or more locations.

Inventors

  • Siddha Ganju

Assignees

  • NVIDIA CORPORATION

Dates

Publication Date
20260507
Application Date
20250501

Claims (20)

  1. 1 - 20 . (canceled)
  2. 21 . One or more processors comprising: circuitry to: determine, based, at least in part, on a user-selected application executed by a user equipment (UE), a threshold value corresponding to a minimum wireless signal strength; determine that a first wireless signal strength value corresponding to a location of the user equipment (UE) is below the minimum threshold value; determine one or more other locations corresponding to a second wireless signal strength value that is above the first wireless signal strength value; and generate one or more paths for the UE to move to the one or more other locations based, at least in part, on a determination on whether the second wireless signal strength value was obtained within a threshold amount of time.
  3. 22 . The one or more processors of claim 21 , wherein determining the one or more other locations are based, at least in part, on one or more user-defined parameters that indicate one or more elevation, distance, and/or terrain measurements.
  4. 23 . The one or more processors of claim 21 , wherein the circuitry is further to indicate a direction of travel to improve wireless signal strength of the UE based, at least in part, on the one or more paths.
  5. 24 . The one or more processors of claim 21 , wherein the first wireless signal strength value is computed based, at least in part, on an average wireless signal strength over a time interval.
  6. 25 . The one or more processors of claim 21 , wherein the circuitry is further to indicate, to the UE, that the first wireless signal strength value is below the threshold value.
  7. 26 . The one or more processors of claim 21 , wherein determining the one or more other locations is based, at least in part, on one or more wireless signal strength maps that are obtained prior to the first wireless signal strength value being below the threshold value.
  8. 27 . The one or more processors of claim 21 , wherein the location of the UE or the one or more other locations are indicated by one or more global positioning system (GPS) coordinates.
  9. 28 . The one or more processors of claim 21 , wherein the circuitry is further to: obtain a plurality of wireless strength maps from a plurality of UEs; and generate a wireless strength map based, at least in part, on combining the plurality of wireless strength maps, wherein the wireless strength map comprises the one or more other locations.
  10. 29 . A computer-implemented method, comprising: determining a threshold value corresponding to a minimum wireless signal strength for operating a user-selected application executed by a user equipment (UE); determining that a first wireless signal strength value corresponding to one or more first locations of the UE is below the threshold value; determining one or more second locations corresponding to a second wireless signal strength value that is above the first wireless signal strength value; and generating one or more paths for the UE between the one or more second locations and the one or more first locations based, at least in part, on a determination on whether the second wireless signal strength value was received within a threshold amount of time.
  11. 30 . The computer-implemented method of claim 29 , further comprising: indicating a direction of travel to improve wireless signal strength of the UE based, at least in part, on the one or more paths.
  12. 31 . The computer-implemented method of claim 29 , wherein determining the one or more second locations are based, at least in part, on one or more user-defined parameters obtained from the UE, wherein the one or more user-defined parameters comprise minimal elevation gain, avoidance of tolls, and/or pre-determined paths.
  13. 32 . The computer-implemented method of claim 31 , wherein one or more storage locations of the UE comprise one or more wireless strength maps and one or more global positioning system (GPS) coordinates that indicate the one or more second locations.
  14. 33 . The computer-implemented method of claim 29 , further comprising: receiving a plurality of wireless strength maps from a plurality of UEs; and generating a wireless strength map based, at least in part, on combining the plurality of wireless strength maps, wherein the wireless strength map comprises the one or more second locations.
  15. 34 . The computer-implemented method of claim 29 , wherein the first wireless signal strength value is computed based, at least in part, on an average wireless signal strength over a time interval.
  16. 35 . The computer-implemented method of claim 29 , further comprising: receiving two or more wireless strength maps from a plurality of UEs; and generating a wireless strength map based, at least in part, on combining the two or more wireless strength maps, wherein the wireless strength map comprises the one or more second locations.
  17. 36 . A system comprising, one or more processors to: determine a threshold value corresponding to minimum wireless signal strength for operation of a user-selected application executed by a user equipment (UE); determine that a first wireless signal strength value corresponding to one or more first locations of the UE is below the threshold value; determine one or more second locations corresponding to a second wireless signal strength value that is above the first wireless signal strength value; and generate one or more paths for the UE between the one or more second locations and the one or more first locations based, at least in part, on a determination on whether the second wireless signal strength value was received within a threshold amount of time.
  18. 37 . The system of claim 36 , wherein the one or more second locations are determined based, at least in part, on one or more user-defined parameters, wherein the one or more user-defined parameters indicate one or more elevation, distance, and/or terrain measurements.
  19. 38 . The system of claim 36 , wherein the one or more processors are further to, indicate, via a user interface, the one or more paths and one or more directions that correspond to the one or more paths.
  20. 39 . The system of claim 36 , wherein the one or more processors are further to update a first wireless strength map based, at least in part, on a second wireless strength map, wherein the updated first wireless strength map comprises the one or more second locations.

Description

CROSS-REFERENCE TO RELATED APPLICATIONS This application is a continuation of U.S. application Ser. No. 17/518,517, filed on Nov. 3, 2021. The disclosure of the aforementioned application is hereby incorporated by reference in its entirety. TECHNICAL FIELD At least one embodiment pertains to processing resources used to provide indications about wireless signal strength. For example, at least one embodiment, pertains to processors or computing systems used to obtain environmental information to generate indications related to wireless signal strength for a computing device according to various novel techniques described herein. BACKGROUND Having sufficient wireless signal strength is important in many contexts involving cellular and other wireless communication devices. Often times, a wireless communication device may be used to perform various processes that require wireless signals, and loss of the wireless signals can hinder performance of the processes. However, providing indications that would inform a user about the connectivity strength of their device's wireless signal can be difficult, especially when cellular devices encounter areas with varying wireless signal coverage. Techniques to provide indications to inform a user of a device's wireless signal strength may therefore be improved. BRIEF DESCRIPTION OF THE DRAWINGS FIG. 1 illustrates an example of a framework to provide directional indicators to improve signal strength, according to at least one embodiment; FIG. 2 illustrates an example of a framework to provide directional indicators to improve signal strength, according to at least one embodiment; FIG. 3 illustrates an example of wireless signal strength values, according to at least one embodiment; FIG. 4 illustrates another example of a framework to provide directional indicators to improve signal strength, according to at least one embodiment; FIG. 5 illustrates another example of a framework to provide directional indicators to improve signal strength, according to at least one embodiment; FIG. 6 illustrates an example of a process that provides directional indicators to improve signal strength, according to at least one embodiment; FIG. 7 illustrates another example of a process that provides directional indicators to improve signal strength, according to at least one embodiment; FIG. 8 illustrates an example data center system, according to at least one embodiment; FIG. 9A illustrates an example of an autonomous vehicle, according to at least one embodiment; FIG. 9B illustrates an example of camera locations and fields of view for the autonomous vehicle of FIG. 9A, according to at least one embodiment; FIG. 9C is a block diagram illustrating an example system architecture for the autonomous vehicle of FIG. 9A, according to at least one embodiment; FIG. 9D is a diagram illustrating a system for communication between cloud-based server(s) and the autonomous vehicle of FIG. 9A, according to at least one embodiment; FIG. 10 is a block diagram illustrating a computer system, according to at least one embodiment; FIG. 11 is a block diagram illustrating computer system, according to at least one embodiment; FIG. 12 illustrates a computer system, according to at least one embodiment; FIG. 13 illustrates a computer system, according at least one embodiment; FIG. 14A illustrates a computer system, according to at least one embodiment; FIG. 14B illustrates a computer system, according to at least one embodiment; FIG. 14C illustrates a computer system, according to at least one embodiment; FIG. 14D illustrates a computer system, according to at least one embodiment; FIGS. 14E-14F illustrate a shared programming model, according to at least one embodiment; FIG. 15 illustrates exemplary integrated circuits and associated graphics processors, according to at least one embodiment; FIGS. 16A-16B illustrate exemplary integrated circuits and associated graphics processors, according to at least one embodiment; FIGS. 17A-17B illustrate additional exemplary graphics processor logic according to at least one embodiment; FIG. 18 illustrates a computer system, according to at least one embodiment; FIG. 19A illustrates a parallel processor, according to at least one embodiment; FIG. 19B illustrates a partition unit, according to at least one embodiment; FIG. 19C illustrates a processing cluster, according to at least one embodiment; FIG. 19D illustrates a graphics multiprocessor, according to at least one embodiment; FIG. 20 illustrates a multi-graphics processing unit (GPU) system, according to at least one embodiment; FIG. 21 illustrates a graphics processor, according to at least one embodiment; FIG. 22 is a block diagram illustrating a processor micro-architecture for a processor, according to at least one embodiment; FIG. 23 illustrates at least portions of a graphics processor, according to one or more embodiments; FIG. 24 illustrates at least portions of a graphics processor, according to one or more em