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公开(公告)号:US20240364401A1
公开(公告)日:2024-10-31
申请号:US18689932
申请日:2022-09-06
Applicant: ZTE CORPORATION
Inventor: Huahua XIAO , Zhaohua LU , Chuangxin JIANG , Lun LI , Hao WU
IPC: H04B7/06
CPC classification number: H04B7/0626 , H04B7/0639
Abstract: The present disclosure provides a method for feeding back channel state information, including: performing sampling on initial channel information to obtain check information; and feeding back the check information. The present disclosure further provides a method for processing feedback information, a terminal, a base station, a computer-readable storage medium.
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12.
公开(公告)号:US20250158682A1
公开(公告)日:2025-05-15
申请号:US18839455
申请日:2023-03-08
Applicant: ZTE Corporation
Inventor: Huahua XIAO , Zhaohua LU , Hao WU , Lun LI
Abstract: The embodiments of the present disclosure provide a method for feeding back channel state information and apparatus, a storage medium, and an electronic device. The method comprises: acquiring first check channel information; determining first check channel state information according to the first check channel information; and feeding back the first check channel state information. By means of the technical solution, at least the problem in the related art of how to acquire more accurate channel state information is solved.
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公开(公告)号:US20250097736A1
公开(公告)日:2025-03-20
申请号:US18970456
申请日:2024-12-05
Applicant: ZTE Corporation
Inventor: Guozeng ZHENG , Zhaohua LU , Huahua XIAO , Wenfeng LIU , Lun LI , Yong LI , Yuxin WANG
IPC: H04W24/02 , H04B17/309 , H04B17/318 , H04W64/00
Abstract: Techniques are described for communicating datasets, between wireless devices and network nodes, to train artificial intelligence (AI) and/or machine learning (ML) models, which can be used in both training and inference stages, to improve system performance. An example method for wireless communication includes receiving, by a wireless device, a dataset from a network node, wherein the dataset comprises a plurality of data samples and is associated with a first information. In another example, the example method further includes transmitting, to the network node, a request for the dataset.
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公开(公告)号:US20250096972A1
公开(公告)日:2025-03-20
申请号:US18832456
申请日:2023-03-21
Applicant: ZTE CORPORATION
Inventor: Lun LI , Hao WU , Huahua XIAO , Yong LI , Zhaohua LU
IPC: H04L5/00
Abstract: Provided are a channel state information processing method, a terminal, a base station, and a medium. The channel state information processing method includes: performing, in a target dimension, grouping preprocessing on initial channel state information to obtain a plurality pieces of first channel state information; encoding the plurality pieces of first channel state information to generate second channel state information; and feeding back the second channel state information.
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公开(公告)号:US20240372588A1
公开(公告)日:2024-11-07
申请号:US18291622
申请日:2022-08-02
Applicant: ZTE CORPORATION
Inventor: Huahua XIAO , Hao WU , Zhaohua LU , Lun LI , Zhengguang GAO , Xia LI
Abstract: Provided in the present disclosure is a method for feeding back channel state information, including: determining a neural network parameter, and constructing an encoder according to the neural network parameter; compressing channel information with the encoder to obtain channel state information; and feeding back the channel state information. Further provided in the present disclosure are a method for receiving channel state information, and a terminal, a base station, and a computer-readable storage medium.
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16.
公开(公告)号:US20240162959A1
公开(公告)日:2024-05-16
申请号:US18551057
申请日:2021-12-14
Applicant: ZTE CORPORATION
Inventor: Huahua XIAO , Zhaohua LU , Hao WU , Lun LI
IPC: H04B7/06 , H04B17/391 , H04W72/21 , H04W80/02
CPC classification number: H04B7/0626 , H04B17/3913 , H04W72/21 , H04W80/02
Abstract: A network parameter set information transmission method and apparatus, a terminal, a base station, and a storage medium are disclosed. The method may include, acquiring at least one set of neural network parameters; selecting at least one set of neural network parameters from the at least one set of neural network parameters according to a channel feature; and transmitting information of the set of network psarameters corresponding to the selected set of neural network parameters.
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