MACHINE LEARNING MODEL REPORTING, FALLBACK, AND UPDATING FOR WIRELESS COMMUNICATIONS

Title:

MACHINE LEARNING MODEL REPORTING, FALLBACK, AND UPDATING FOR WIRELESS COMMUNICATIONS

Document Type and Number:

WIPO Patent Application WO/2022/222089

Kind Code:

A1

Abstract:

Methods, systems, and devices for wireless communications are described. In some systems, devices use machine learning (ML) models to support wireless communications. For example, a user equipment (UE) may download ML model information from a network to determine an ML model. The network may additionally configure a status reporting procedure, a fallback procedure, or both for the ML model. In some examples, based on a configuration, the UE may transmit a status report to a base station according to a reporting periodicity, a UE-based trigger, a network-based trigger, or some combination thereof. Additionally or alternatively, the UE may determine to fallback from operating using the ML model to operating in a second mode based on a fallback trigger. In some examples, to restore operating using a downloaded ML model, the UE may download an updated ML model or receive iterative updates to a previously downloaded ML model.

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Inventors:

REN YUWEI (US)
ZHENG RUIMING (US)
ZHU XIPENG (US)
HAO CHENXI (US)
KRISHNAN SHANKAR (US)
ZHANG YU (US)
XU HUILIN (US)
XU HAO (US)
HUANG YIN (US)
YOO TAESANG (US)

Application Number:

PCT/CN2021/088896

Publication Date:

October 27, 2022

Filing Date:

April 22, 2021

Export Citation:

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Assignee:

QUALCOMM INC (US)
REN YUWEI (CN)
ZHENG RUIMING (CN)
ZHU XIPENG (US)
HAO CHENXI (CN)
KRISHNAN SHANKAR (US)
ZHANG YU (CN)
XU HUILIN (US)
XU HAO (CN)
HUANG YIN (CN)
YOO TAESANG (US)

International Classes:

H04B17/24

Foreign References:

US10396919B1	2019-08-27
US20200127907A1	2020-04-23
CN108427992A	2018-08-21

Attorney, Agent or Firm:

NTD PATENT & TRADEMARK AGENCY LTD. (CN)

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