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Title:
SOUNDING AND TRANSMISSION PRECODING MATRIX INDICATION DETERMINATION USING MACHINE LEARNING MODELS
Document Type and Number:
WIPO Patent Application WO/2022/236763
Kind Code:
A1
Abstract:
Certain aspects of the present disclosure provide techniques for sounding and precoding uplink transmissions using one or more machine learning models. An example method generally includes generating a sounding reference signal (SRS) using an SRS deep neural network (DNN); transmitting, to a network entity, the generated SRS in one or more resource elements (REs); receiving, from the network entity, information identifying a precoding matrix to use for uplink transmissions on a shared channel; precoding uplink transmissions based on the identified precoding matrix; and transmitting, to the network entity, the precoded uplink transmissions on the shared channel.

Inventors:
LI QIAOYU (US)
ZHANG YU (US)
HU RUI (US)
XU HAO (US)
Application Number:
PCT/CN2021/093542
Publication Date:
November 17, 2022
Filing Date:
May 13, 2021
Export Citation:
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Assignee:
QUALCOMM INC (US)
LI QIAOYU (CN)
ZHANG YU (CN)
HU RUI (CN)
XU HAO (CN)
International Classes:
H04L25/02; H04B7/0408; H04B7/0456; H04B7/06
Domestic Patent References:
WO2021081981A12021-05-06
WO2020077536A12020-04-23
Foreign References:
US20210064996A12021-03-04
Other References:
VIVO: "Study on AI/ML based air interface enhancement in Rel-18", vol. TSG RAN, no. Electronic Meeting; 20210316 - 20210326, 15 March 2021 (2021-03-15), XP051985674, Retrieved from the Internet [retrieved on 20210315]
Attorney, Agent or Firm:
NTD PATENT & TRADEMARK AGENCY LTD. (CN)
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