PROVIDING CHANNEL STATE INFORMATION (CSI) FEEDBACK

Title:

PROVIDING CHANNEL STATE INFORMATION (CSI) FEEDBACK

Document Type and Number:

WIPO Patent Application WO/2023/028976

Kind Code:

A1

Abstract:

Aspects of the present disclosure provide techniques for reducing channel state information (CSI) feedback overhead sent from one or more user equipments (UEs) to a network entity, such as a base station (BS) or gNodeB (gNB), while ensuring correct mapping of the CSI feedback at the network entity. In some cases, the overhead reduction may be achieved by converting the CSI feedback to size-reduced and further quantized representative coefficients (e.g., for multiple UEs). The quantized coefficients allow the network entity to recover the CSI feedback by de-quantizing and correctly mapping the quantized coefficients to recover the CSI feedback.

Inventors:

XI WEI (US)
HU RUI (US)
HAO CHENXI (US)
XU HAO (US)

Application Number:

PCT/CN2021/116370

Publication Date:

March 09, 2023

Filing Date:

September 03, 2021

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Assignee:

QUALCOMM INC (US)
XI WEI (CN)
HU RUI (CN)
HAO CHENXI (CN)
XU HAO (CN)

International Classes:

H04B7/0456

Domestic Patent References:

WO2020118549A1

2020-06-18

Other References:

ZHILIN LU ET AL: "Multi-resolution CSI Feedback with deep learning in Massive MIMO System", ARXIV.ORG, CORNELL UNIVERSITY LIBRARY, 201 OLIN LIBRARY CORNELL UNIVERSITY ITHACA, NY 14853, 27 May 2021 (2021-05-27), XP081948295
CHAO-KAI WEN, DEEP LEARNING FOR MASSIVE MIMO CSI FEEDBACK, 23 April 2018 (2018-04-23)
ZHILIN LU ET AL., MULTI-RESOLUTION CSI FEEDBACK WITH DEEP LEARNING IN MASSIVE MIMO SYSTEM, 27 May 2021 (2021-05-27)
3GPP, 3RD GENERATION PARTNERSHIP PROJECT

Attorney, Agent or Firm:

NTD PATENT & TRADEMARK AGENCY LTD. (CN)

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