Invention Publication
- Patent Title: SOUNDING AND TRANSMISSION PRECODING MATRIX INDICATION DETERMINATION USING MACHINE LEARNING MODELS
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Application No.: US18548859Application Date: 2021-05-13
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Publication No.: US20240163136A1Publication Date: 2024-05-16
- Inventor: Qiaoyu LI , Yu ZHANG , Rui HU , Hao XU
- Applicant: QUALCOMM Incorporated
- Applicant Address: US CA San Diego
- Assignee: QUALCOMM Incorporated
- Current Assignee: QUALCOMM Incorporated
- Current Assignee Address: US CA San Diego
- International Application: PCT/CN2021/093542 2021.05.13
- Date entered country: 2023-09-01
- Main IPC: H04L25/02
- IPC: H04L25/02 ; H04B7/06

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.
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