US 11,658,709 B2
Channel estimation method and apparatus
Xiaohan Wang, Shanghai (CN); Huangping Jin, Shanghai (CN); Xiang Ren, Shanghai (CN); Wei Han, Shanghai (CN); and Xiaoyan Bi, Ottawa (CA)
Assigned to Huawei Technologies Co., Ltd., Shenzhen (CN)
Filed by Huawei Technologies Co., Ltd., Shenzhen (CN)
Filed on Sep. 23, 2021, as Appl. No. 17/483,419.
Application 17/483,419 is a continuation of application No. 16/938,582, filed on Jul. 24, 2020, granted, now 11,139,869.
Application 16/938,582 is a continuation of application No. PCT/CN2019/070904, filed on Jan. 8, 2019.
Claims priority of application No. 201810075250.X (CN), filed on Jan. 25, 2018.
Prior Publication US 2022/0014241 A1, Jan. 13, 2022
Int. Cl. H04B 7/0456 (2017.01); H04L 25/02 (2006.01); H04B 7/0417 (2017.01)
CPC H04B 7/0456 (2013.01) [H04L 25/0204 (2013.01); H04B 7/0417 (2013.01)] 26 Claims
OG exemplary drawing
1. A channel estimation apparatus comprising:
a processor;
a memory configured to store a computer program that is executed by the processor, and causes the processor to perform a method including:
generating indication information for indicating M N-dimensional precoding vectors,
wherein each precoding vector is applied to one of M frequency bands, the M N-dimensional precoding vectors form a space-frequency matrix, and the space-frequency matrix is generated by performing a weighted combination on a plurality of space-frequency component matrices,
wherein the space-frequency matrix is an X×Y space-frequency matrix, X and Y are one and the other of M and N, M≥1, N≥2, and both M and N are integers,
wherein the space-frequency matrix is associated with one spatial stream, and
wherein quantities of frequency-domain component vectors associated with each of space-frequency matrices of different spatial streams are the same, and a larger quantity of spatial streams is associated with a smaller quantity of frequency-domain component vectors; and
sending the indication information.