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公开(公告)号:US20210378031A1
公开(公告)日:2021-12-02
申请号:US17402302
申请日:2021-08-13
Applicant: Huawei Technologies Co., Ltd.
Inventor: Xiaomeng CHAI , Yiqun WU , Shaoyuan CHEN , Yan CHEN
Abstract: A random access method, a device, and a system are provided, relate to the field of communications technologies. The method includes: receiving first configuration information, second configuration information, and third configuration information that are sent by a network device, where the first configuration information is used to configure a PRACH time-frequency resource and a preamble sequence set, the second configuration information is used to configure a PUSCH time-frequency resource block corresponding to each PRACH time-frequency resource, and the third configuration information is used to configure a size of each PUSCH time-frequency resource and a correspondence between a preamble sequence and a PUSCH time-frequency resource; and sending a first message including a first preamble sequence and uplink data, where the first preamble sequence is carried on a first PRACH time-frequency resource, and the uplink data is carried on a PUSCH time-frequency resource corresponding to the first PRACH time-frequency resource.
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公开(公告)号:US20240357560A1
公开(公告)日:2024-10-24
申请号:US18759095
申请日:2024-06-28
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor: Xiaomeng CHAI , Yan SUN , Yiqun WU
Abstract: A data processing method for a model and an apparatus are provided. The method includes: A first node determines the data processing method for the model; and the first node implements, according to the data processing method for the model, at least one of the following: performing model training or performing model inference. Based on the method and the apparatus, inference tasks for different radio resource configurations can be completed by using one model, so that overheads for model training and storage are reduced.
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公开(公告)号:US20240320488A1
公开(公告)日:2024-09-26
申请号:US18679849
申请日:2024-05-31
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor: Yan SUN , Xiaomeng CHAI , Yaqi SUN , Yuheng QIU , Yiqun WU
IPC: G06N3/08 , H04B17/391 , H04L41/16
CPC classification number: G06N3/08 , H04B17/3913 , H04L41/16
Abstract: A communication method and a communication apparatus. The method includes: the communication apparatus receives first information, where the first information indicates a training policy of a first intelligent model. The communication apparatus performs model training on the first intelligent model according to the training policy. In this way, an intelligent model that meets a communication performance requirement can be obtained while air interface resource overheads are reduced.
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公开(公告)号:US20240314613A1
公开(公告)日:2024-09-19
申请号:US18672072
申请日:2024-05-23
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor: Yan SUN , Xiaomeng CHAI , Yaqi SUN , Yiqun WU
Abstract: This application provides a communication method and apparatus. The method includes: determining a first downlink signal and a second downlink signal, where the first downlink signal is a downlink signal determined based on an output of a first prediction model, an input of the first prediction model is determined based on Y pieces of downlink measurement information in X pieces of downlink measurement information, and the second downlink signal is determined based on the X pieces of downlink measurement information; and indicating the second downlink signal and the Y pieces of downlink measurement information to an access network device if the first downlink signal and the second downlink signal meet a first condition. According to the method, the first prediction model can be updated based on the foregoing information, and performance of the prediction model can be continuously improved.
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公开(公告)号:US20240211770A1
公开(公告)日:2024-06-27
申请号:US18598592
申请日:2024-03-07
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor: Xiaomeng CHAI , Yan SUN , Yiqun WU
IPC: G06N3/098
CPC classification number: G06N3/098
Abstract: A communication method and apparatus. A terminal receives first information from a network device. The terminal determines N pieces of training data based on the first information, and N is an integer. The terminal performs model training based on the N pieces of training data, to obtain a first AI model. The network device configures the first information used to determine the N pieces of training data for the terminal. The terminal performs model training based on the N pieces of training data autonomously. Separately configuring an AI model for the terminal is not necessary and air interface overheads are reduced.
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公开(公告)号:US20240202524A1
公开(公告)日:2024-06-20
申请号:US18591304
申请日:2024-02-29
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor: Xiaomeng CHAI , Yan SUN , Yiqun WU
IPC: G06N3/08
CPC classification number: G06N3/08
Abstract: An access network device receives M pieces of first information of M local models from M terminal devices, where the M terminal devices one-to-one correspond to the M local models, the M local models one-to-one correspond to the M pieces of first information, and the M pieces of first information of the M local models are information received in first duration. The access network device updates a global model based on the M pieces of first information of the M local models and sends first information of the global model to K terminal devices. In the method, the first duration is set, to ensure that an update progress of local information matches an update progress of the global model and improve accuracy and performance of the global model obtained by the access network device.
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公开(公告)号:US20230164848A1
公开(公告)日:2023-05-25
申请号:US18066472
申请日:2022-12-15
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor: Xiaomeng CHAI , Xiuqiang XU , Yiqun WU , Yan CHEN
IPC: H04W74/08 , H04W24/10 , H04W72/115
CPC classification number: H04W74/0833 , H04W24/10 , H04W72/115
Abstract: This application discloses a method. The method includes: A terminal device obtains one or more measurement results respectively corresponding to one or more reference signals, and determines a CEL of the terminal device based on the one or more measurement results and at least one of N thresholds, where the N thresholds are a threshold 0, a threshold 1, . . . , and a threshold (N−1) in descending order. If there is a measurement result greater than or equal to the threshold 0 in the one or more measurement results, the CEL of the terminal device is a CEL 0. If the one or more measurement results are less than a threshold i, and there is a measurement result greater than or equal to a threshold (i+1), the CEL of the terminal device is a CEL (i+1), and a value of i is an integer from 0 to (N−2).
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公开(公告)号:US20220166584A1
公开(公告)日:2022-05-26
申请号:US17671313
申请日:2022-02-14
Applicant: Huawei Technologies Co., Ltd.
Inventor: Xiaomeng CHAI , Yiqun WU
Abstract: This application relates to the field of communications technologies, and discloses a DMRS port determining method and a communications apparatus, to resolve a problem that collisions occur on DMRS ports used by a large quantity of terminal devices to send uplink data and a random access effect is affected during 2-step random access. The method includes: receiving, by a terminal device, configuration information sent by a network device, where the configuration information includes DMRS configuration information and indication information of a DMRS port set, the DMRS configuration information is used to configure a plurality of DMRS ports, and the indication information of the DMRS port set is used to indicate one or more available DMRS ports in the plurality of DMRS ports; and determining, by the terminal device, a target DMRS port in the DMRS port set.
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公开(公告)号:US20240267762A1
公开(公告)日:2024-08-08
申请号:US18640643
申请日:2024-04-19
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor: Xiaomeng CHAI , Yiqun WU
CPC classification number: H04W24/02 , H04L5/0051 , H04W56/0015
Abstract: A communication method and apparatus are provided. The method includes: obtaining N pieces of training data, where for one of the N pieces of training data, the training data corresponds to one piece of mark information, and the mark information indicates an attribute of the training data; and sending indication information to a terminal device, where the indication information indicates information about M artificial intelligence models, the artificial intelligence model is trained based on X pieces of training data in the N pieces of training data, and the X pieces of training data are determined based on the mark information. When the N pieces of training data are obtained, the N pieces of training data may be used for constructing training data corresponding to different mark information, to train the M artificial intelligence models or more artificial intelligence models, so that scenario-based artificial intelligence model training can be implemented.
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公开(公告)号:US20240211810A1
公开(公告)日:2024-06-27
申请号:US18598612
申请日:2024-03-07
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor: Xiaomeng CHAI , Yiqun WU
IPC: G06N20/00
CPC classification number: G06N20/00
Abstract: A model test method and an apparatus. A terminal receives first information from a network device. The terminal determines at least one test set based on the first information. The terminal tests an AI model based on the at least one test set, to obtain a test result. The terminal notifies the network device of the test result of the AI model.
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