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Title:
REMOTE INTERFERENCE DETECTION BASED ON MACHINE LEARNING
Document Type and Number:
WIPO Patent Application WO/2023/056590
Kind Code:
A1
Abstract:
Methods, systems, and devices for wireless communications are described. The method may include a wireless device (e.g., a user equipment (UE) or a base station) receiving, from a network node, a machine learning model for use by the wireless device to detect remote interference from a base station. The wireless device may be associated with a first cell and the base station may be associated with a second cell different from the first cell. The wireless device may input one or more parameters into the machine learning model and detect whether the remote interference from the base station is present based on an output of the machine learning model.

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Inventors:
REN YUWEI (US)
ZHU XIPENG (US)
XU HUILIN (US)
NAMGOONG JUNE (US)
Application Number:
PCT/CN2021/122595
Publication Date:
April 13, 2023
Filing Date:
October 08, 2021
Export Citation:
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Assignee:
QUALCOMM INC (US)
REN YUWEI (CN)
ZHU XIPENG (US)
XU HUILIN (US)
NAMGOONG JUNE (US)
International Classes:
H04W24/10
Domestic Patent References:
WO2021101347A12021-05-27
WO2021117373A12021-06-17
Foreign References:
US20160345194A12016-11-24
US20200053591A12020-02-13
CN109548048A2019-03-29
Attorney, Agent or Firm:
NTD PATENT & TRADEMARK AGENCY LTD. (CN)
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