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Title:
MACHINE LEARNING FOR CHANNEL ESTIMATION AGAINST DIVERSE DOPPLER EFFECTS
Document Type and Number:
WIPO Patent Application WO/2022/217553
Kind Code:
A1
Abstract:
Embodiments of the present disclosure relate to machine learning for channel estimation against diverse Doppler effects. In this solution, the first device receives user data in a slot from a second device via a channel between the first device and the second device, the user data includes a reference symbol. Then, the first device performs, with a NN, a first channel estimation for the channel based on information on velocity of a second device and a result of a second channel estimation for the channel. The second channel estimation is performed based on the received reference symbol. After that, the first device transmits, to the second device, an indication of a result of the first channel estimation. With this solution, channel estimation is able to be performed in diverse scenarios (e.g., diverse Doppler scenarios, high-velocity scenarios and the like) with low overheads in reference signals (e.g., 1 DMRS), thereby reducing network consumption.

Inventors:
QI WENLIANG (CN)
XU WENYI (CN)
YE CHENHUI (CN)
QUAN JIAQI (CN)
HOYDIS JAKOB (FR)
Application Number:
PCT/CN2021/087592
Publication Date:
October 20, 2022
Filing Date:
April 15, 2021
Export Citation:
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Assignee:
NOKIA SHANGHAI BELL CO LTD (CN)
NOKIA SOLUTIONS & NETWORKS OY (FI)
International Classes:
H04L25/02; H04L5/00
Foreign References:
US20200266860A12020-08-20
CN106060852A2016-10-26
US20200221435A12020-07-09
Other References:
INTERDIGITAL INC.: "Discussions on joint channel estimation for PUSCH", 3GPP DRAFT; R1-2100733, vol. RAN WG1, 19 January 2021 (2021-01-19), pages 1 - 7, XP051971176
SAMSUNG: "Remaining issues on performance requirements for NR PUSCH in Rel-15", 3GPP DRAFT; R4-1903364 REMAINING ISSUES ON PERFORMANCE REQUIREMENTS FOR NR PUSCH IN REL-15, vol. RAN WG4, 1 April 2019 (2019-04-01), Xi'an China, pages 1 - 4, XP051713793
Attorney, Agent or Firm:
KING & WOOD MALLESONS (CN)
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