Title:
CELLULAR POSITIONING WITH LOCAL SENSORS USING NEURAL NETWORKS
Document Type and Number:
WIPO Patent Application WO/2023/038991
Kind Code:
A3
Abstract:
A wireless communication system (100) employs DNNs or other neural networks (120, 128, 134, 148) to provide for RAT-assisted positioning of UEs. A TX NN (120) at the BS (108) generates and provides for wireless transmission of a reference signal (138) to the UE (110). An RX NN (134) at the UE (110) receives the reference signal (138) and local UE sensor data (140) as input, and from this input generates a UE measurement and sensor report (144). A TX NN (148) at the UE (110) receives the report (144) as an input, and from this input generates an RF signal (154) representing the UE measurement and sensor report (144) for transmission to the BS (108). An RX NN (128) at the BS (108) receives the report (144) from the RF signal (154) as input, and from this input generates a position estimate (130) of the UE (110).
Inventors:
WANG JIBING (US)
STAUFFER ERIK RICHARD (US)
STAUFFER ERIK RICHARD (US)
Application Number:
PCT/US2022/042785
Publication Date:
June 01, 2023
Filing Date:
September 07, 2022
Export Citation:
Assignee:
GOOGLE LLC (US)
International Classes:
G01S5/02; G06N3/02; G06N3/045; G01S5/00
Domestic Patent References:
| WO2020213964A1 | 2020-10-22 |
Foreign References:
| US20210049451A1 | 2021-02-18 |
Other References:
VIVO: "Study on AI/ML based air interface enhancement in Rel-18", vol. TSG RAN, no. Electronic Meeting; 20210628 - 20210702, 7 June 2021 (2021-06-07), XP052025729, Retrieved from the Internet [retrieved on 20210607]
Attorney, Agent or Firm:
DAVIDSON, Ryan S. (US)
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