IP Library Granted Patent US 12,538,261
Granted Patent B2
US 12,538,261 · App. 18/176,992 · Granted Jan 27, 2026

Systems, apparatus, and methods for triggerable data driven location determination

Inventors: Valerie Parker (Portland, OR); Pranali Jhaveri (Hillsboro, OR); Stephen Palermo (Chandler, AZ); John Belstner (Scottsdale, AZ); Masoud Sajadieh (Fremont, CA); Ned M. Smith (Beaverton, OR)
Assignee: Intel Corporation
H04W64/003H04W64/006
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 12,538,261
App. No.
18/176,992
Granted
Jan 27, 2026
Kind
B2
Abstract

Methods, apparatus, systems, and articles of manufacture are disclosed for triggerable data driven location determination. An example apparatus is to cause transmission of a sounding reference signal (SRS) configuration to a radio access network (RAN), the SRS configuration for a target device in communication with a radio unit (RU) associated with the RAN. Additionally, the example apparatus is to cause transmission of a value to cause the RAN to compute at least one set of time-of-arrival (TOA) measurements or time-difference-of-arrival (TDOA) measurements for the target device based on detection of SRS data in cellular data received by antennas of the RU from the target device, the at least set one of the TOA measurements or the TDOA measurements based on the SRS configuration. The example apparatus is to estimate a location of the target device based on the at least one set of the TOA measurements or the TDOA measurements.

Claims (36)

1 . An apparatus comprising:

interface circuitry;

machine-readable instructions; and

at least one processor circuit to at least one of execute or instantiate the machine-readable instructions to:

determine a sounding reference signal (SRS) configuration for a target device in communication with a radio unit (RU) associated with a radio access network (RAN), the SRS configuration determined based on at least one of an opt-in preference associated with the target device, a state of a power source of the target device, or at least one of an initial or a historical SRS configuration for the target device;

cause transmission of the SRS configuration to the RAN to cause the RAN to compute at least one of time-of-arrival (TOA) measurements or time-difference-of-arrival (TDOA) measurements for the target device based on detection of SRS data in cellular data received by antennas of the RU, the cellular data from the target device, the at least one of the TOA measurements or the TDOA measurements based on the SRS configuration for the target device; and

estimate a location of the target device based on the SRS configuration and the at least one of the TOA measurements or the TDOA measurements.

2 . The apparatus of claim 1 , wherein one or more of the at least one processor circuit is to obtain an identifier, from the RAN, of an antenna that received SRS data, the RU including the antenna.

3 . The apparatus of claim 1 , wherein one or more of the at least one processor circuit is to cause transmission of a request to the RAN to obtain capabilities of the target device.

4 . The apparatus of claim 1 , wherein the SRS configuration includes a frequency with which the location of the target device is to be estimated.

5 . The apparatus of claim 1 , wherein the SRS configuration includes a period for estimating the location of the target device.

6 . The apparatus of claim 1 , wherein one or more of the at least one processor circuit is to execute a machine learning model based on the at least one of the opt-in preference, the state of the power source of the target device, or the at least one of the initial or the historical SRS configuration to determine the SRS configuration for the target device.

7 . The apparatus of claim 1 , wherein one or more of the at least one processor circuit is to:

determine the SRS configuration for the target device at a first time; and

at a second time, adjust the SRS configuration based on a change in the at least one of the opt-in preference, the state of the power source of the target device, or the at least one of the initial or the historical SRS configuration to determine the SRS configuration for the target device.

8 . A non-transitory computer-readable medium comprising instructions to cause at least one processor circuit to at least:

determine a sounding reference signal (SRS) configuration for a target device in communication with a radio unit (RU) associated with a radio access network (RAN), the SRS configuration determined based on at least one of an opt-in preference associated with the target device, a state of a power source of the target device, or at least one of an initial or a historical SRS configuration for the target device;

cause transmission of the SRS configuration to the RAN to cause the RAN to compute at least one of time-of-arrival (TOA) measurements or time-difference-of-arrival (TDOA) measurements for the target device based on detection of SRS data in cellular data received by antennas of the RU, the cellular data from the target device, the at least one of the TOA measurements or the TDOA measurements based on the SRS configuration for the target device; and

estimate a location of the target device based on the SRS configuration and the at least one of the TOA measurements or the TDOA measurements.

9 . The non-transitory computer-readable medium of claim 8 , wherein the instructions are to cause one or more of the at least one processor circuit to obtain an identifier, from the RAN, of an antenna that received SRS data, the RU including the antenna.

10 . The non-transitory computer-readable medium of claim 8 , wherein the instructions are to cause one or more of the at least one processor circuit to cause transmission of a request to the RAN to obtain capabilities of the target device.

11 . The non-transitory computer-readable medium of claim 8 , wherein the SRS configuration includes a frequency with which the location of the target device is to be estimated.

12 . The non-transitory computer-readable medium of claim 8 , wherein the SRS configuration includes a period for estimating the location of the target device.

13 . The non-transitory computer-readable medium of claim 8 , wherein the instructions are to cause one or more of the at least one processor circuit to determine the SRS configuration for the target device based on evaluation of the at least one of the opt-in preference, the state of the power source of the target device, or the at least one of the initial or the historical SRS configuration with a machine learning model.

14 . The non-transitory computer-readable medium of claim 8 , wherein the instructions are to cause one or more of the at least one processor circuit to:

determine the SRS configuration for the target device at a first time; and

at a second time, adjust the SRS configuration based on a change in the at least one of the opt-in preference, the state of the power source of the target device, or the at least one of the initial or the historical SRS configuration to determine the SRS configuration for the target device.

15 . A method comprising:

determining, by executing an instruction with at least one processor circuit, a sounding reference signal (SRS) configuration for a target device in communication with a radio unit (RU) associated with a radio access network (RAN), the SRS configuration determined based on at least one of an opt-in preference associated with the target device, a state of a power source of the target device, or at least one of an initial or a historical SRS configuration for the target device;

transmitting, via interface circuitry, the SRS configuration to the RAN to cause the RAN to compute at least one of time-of-arrival (TOA) measurements or time-difference-of-arrival TDOA) measurements for the target device based on detection of SRS data in cellular data received by antennas of the RU, the cellular data from the target device, the at least one of the TOA measurements or the TDOA measurements based on the SRS configuration for the target device; and

estimating, by executing an instruction with one or more of the at least one processor circuit, a location of the target device based on the SRS configuration and the at least one of the TOA measurements or the TDOA measurements.

16 . The method of claim 15 , including obtaining an identifier, from the RAN, of an antenna that received SRS data, the RU including the antenna.

17 . The method of claim 15 , including transmitting a request to the RAN to obtain capabilities of the target device.

18 . The method of claim 15 , wherein the SRS configuration includes a frequency with which the location of the target device is to be estimated.

19 . The method of claim 15 , wherein the SRS configuration includes a period for estimating the location of the target device.

20 . The method of claim 15 , including determining the SRS configuration for the target device by executing a machine learning model based on the at least one of the opt-in preference, the state of the power source of the target device, or the at least one of the initial or the historical SRS configuration.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 18, 2024
From: PARKER, VALERIE; JHAVERI, PRANALI; PALERMO, STEPHEN; BELSTNER, JOHN; SAJADIEH, MASOUD; SMITH, NED M.
To: INTEL CORPORATION
Reel/Frame 069619/0504 →
Continuity (6)
Continuation In Part PCTUS2022042340 · Sep 1, 2022
Provisional Application 63421458 · Nov 1, 2022
Provisional Application 63316880 · Mar 4, 2022
Provisional Application 63290040 · Dec 15, 2021
Provisional Application 63240266 · Sep 2, 2021
Related Publication 20230284178A1 · Sep 7, 2023
References Cited (20)
US 20120020320A1 · Issakov · 2012 [cited by examiner]
US 20160071024A1 · Amer et al. · 2016 [cited by applicant]
US 20160316325A1 · Sadr et al. · 2016 [cited by applicant]
US 20170091617A1 · Baughman et al. · 2017 [cited by applicant]
US 20200196298A1 · Edge · 2020 [cited by examiner]
US 20210109188A1 · Kumar · 2021 [cited by examiner]
US 20210160812A1 · Manolakos · 2021 [cited by examiner]
US 20210255304A1 · Fontijne et al. · 2021 [cited by applicant]
US 20220322277A1 · Duan · 2022 [cited by examiner]
KR 20130039578A · 2013 [cited by applicant]
KR 20190122423A · 2019 [cited by applicant]
WO 2021155952A1 · 2021 [cited by applicant]
Netherlands Patent Office, “Decision on formal defects,” issued in connection with Dutch Patent Application No. 2032942, mailed on Sep. 9, 2022, 4 Pages. [Machine English Translation Included]. [cited by applicant]
Netherlands Patent Office, “Priority Claim Report,” in connection with Dutch Patent Application No. 2032942, mailed on Sep. 9, 2022, 2 Pages. [Machine English Translation Included]. [cited by applicant]
International Searching Authority, “International Search Report,” issued in connection with International Patent Application No. PCT/US2022/042340, mailed on Dec. 27, 2022, 4 pages. [cited by applicant]
International Searching Authority, “Written Opinion of the International Searching Authority,” issued in connection with International Patent Application No. PCT/US2022/042340, mailed on Dec. 27, 2022, 5 pages. [cited by applicant]
Netherlands Intellectual Property Office, “Search Report and Written Opinion,” issued in connection with Dutch Patent Application No. 2032942, mailed on Jul. 28, 2023, 12 Pages. [Machine English Translation Included]. [cited by applicant]
International Searching Authority, “International Preliminary Report on Patentability,” issued in connection with International Application No. PCT/US2022/042340, mailed on Mar. 14, 2024, 7 pages. [cited by applicant]
European Patent Office, “Extended European Search Report,” issued in connection with European Patent Application No. 22865556.9, dated Jun. 16, 2025, 7 pages. [cited by applicant]
European Patent Office, “Communication pursuant to Article 94(3) EPC,” issued in connection with European Patent Application No. 22865556.9, dated Nov. 28, 2025, 5 pages. [cited by applicant]