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公开(公告)号：US20230281513A1
公开(公告)日：2023-09-07
申请号：US18313590
申请日：2023-05-08
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor： Jian WANG , Tianhang YU , Chen XU , Rong LI , Jun WANG
IPC: G06N20/00
CPC classification number: G06N20/00
Abstract: A data model training method and apparatus are provided. The method includes receiving data subsets from a plurality of subnodes and performing data convergence based on the plurality of data subsets to obtain a first data set. A first data model and at least one of the first data set or a subset of the first data set are sent to a first subnode, where an artificial intelligence (AI) algorithm is configured for the first subnode. A second data model is received from the first subnode, where the second data model is obtained by training the first data model based on the first data set or the subset of the first data set. The first data model is updated based on the second data model to obtain a target data model, the target data model is sent to the plurality of subnodes.
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公开(公告)号：US20240152766A1
公开(公告)日：2024-05-09
申请号：US18405019
申请日：2024-01-05
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor： Bin HU , Jian WANG , Chen XU , Gongzheng ZHANG , Rong LI
IPC: G06N3/096
CPC classification number: G06N3/096
Abstract: A model training method and a related apparatus to help improve a convergence speed of model training and improve end-to-end communication quality. The method includes: a first communication apparatus sends first data to a second communication apparatus through a channel, where the first data is an output result of the first machine learning model. The second communication apparatus receives second data through a channel, inputs the second data into a second machine learning model to obtain third data; determines a first loss function based on the third data and the first training data; and sends the first loss function to the first communication apparatus through a feedback channel.
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公开(公告)号：US20240054324A1
公开(公告)日：2024-02-15
申请号：US18486807
申请日：2023-10-13
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor： Gongzheng ZHANG , Chen XU , Rong LI , Jian WANG , Jun WANG
Abstract: A distributed learning method and apparatus for combining wireless communication with distributed learning to save resources, and improve performance of distributed learning in a wireless environment. A first node processes first data using a first data model to obtain first intermediate data. The first node sends the first intermediate data to a second node through a first channel. The first channel is updated based on error information of second intermediate data, information about the first channel, and the first intermediate data. The second intermediate data is a result of transmitting the first intermediate data to the second node through the first channel. The first channel is a channel between the first node and the second node.
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公开(公告)号：US20240049188A1
公开(公告)日：2024-02-08
申请号：US18486482
申请日：2023-10-13
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor： Chen XU , Gongzheng ZHANG , Jian WANG , Rong LI , Jun WANG
Abstract: A first communication apparatus receives training data, and determines a first intermediate gradient based on the training data. The first intermediate gradient is used to update a parameter of a first neural network located in a second communication apparatus. The first communication apparatus maps the first intermediate gradient to an air interface resource to generate a first gradient signal, and sends the first gradient signal to the second communication apparatus. The first gradient signal includes one or more first gradient symbols, and each of the first gradient symbols is corresponding to one or more gradient values.
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公开(公告)号：US20230337194A1
公开(公告)日：2023-10-19
申请号：US18340186
申请日：2023-06-23
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor： Gongzheng ZHANG , Bin HU , Chen XU , Rong LI , Jianglei MA
IPC: H04W72/04
CPC classification number: H04W72/04
Abstract: A communication method is provided, including: A second device receives policy related information from M first devices; the second device obtains transmission decisions of the M first devices based on the policy related information by using a second neural network; the second device updates the second neural network based on reward information, and sends, to the M first devices, information for updating a first neural network, and the third device obtains second update parameter information of the first neural network based on the first update parameter information of the first neural network of the M first devices, and sends the second update parameter information of the first neural network to the M first devices, so that the first device may update the first neural network. The second update parameter information is obtained in a training process, so that training overheads can be reduced.
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Patent Agency Ranking
公开(公告)号：US20200092040A1
公开(公告)日：2020-03-19
申请号：US16693906
申请日：2019-11-25
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor： Lingchen HUANG , Shengchen DAI , Chen XU , Yunfei QIAO , Rong LI
IPC: H04L1/00
Abstract: This application provides a channel encoding method and apparatus in wireless communications. The method includes: performing CRC encoding on A to-be-encoded information bits, to obtain a first bit sequence, where the first bit sequence includes L CRC bits and A information bits; performing a interleaving operation on the first bit sequence, to obtain a second bit sequence, where a first interleaving sequence used for the interleaving operation is obtained based on a system-supported maximum-length interleaving sequence with the length of Kmax+L, and Kmax is a maximum information bit quantity corresponding to the maximum-length interleaving sequence ad a preset rule, and a length of the first interleaving sequence is equal to A+L. Therefore, during distributed CRC encoding, when an information bit quantity is less than the maximum information bit quantity, an interleaving sequence required for completing an interleaving process is obtained based on the system-supported maximum-length interleaving sequence.
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公开(公告)号：US20180351699A1
公开(公告)日：2018-12-06
申请号：US16058118
申请日：2018-08-08
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor： Lingchen HUANG , Gongzheng ZHANG , Chen XU , Chaolong ZHANG , Jun WANG
IPC: H04L1/00
Abstract: Embodiments of this application provide a method and an apparatus for constructing a sequence of polar codes. In an implementation, a tectonic sequence P′ is read from a tectonic sequence P, where the length of the tectonic sequence P′ is an encoding length M and the length of the tectonic sequence P is N. The tectonic sequence P′ is demapped to a reliability ranking sequence Q′ based on a rate matching rule, and K elements that have largest reliability values is read from the reliability ranking sequence Q′, to obtain an information bit sequence number set A.
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公开(公告)号：US20230308325A1
公开(公告)日：2023-09-28
申请号：US18323449
申请日：2023-05-25
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor： Gongzheng ZHANG , Tianhang YU , Chen XU , Rong LI , Jun WANG , Wen TONG
IPC: H04L27/156 , H04L1/00
CPC classification number: H04L27/1563 , H04L1/0057
Abstract: A data transmission method includes obtaining a data stream. The data stream includes a plurality of bit groups. The method also includes modulating the data stream into a modulated symbol stream according to a modulation rule, and generating a modulated signal based on the modulated symbol stream. The modulated symbol stream includes a plurality of modulated symbol. The modulation rule includes determining, in a symbol period of one modulated symbol based on a value of a first bit group, a zero time point corresponding to the first bit group. The zero time point is a zero crossing point of the modulated signal in the symbol period. The first bit group includes at least one bit. The first bit group is one of the plurality of bit groups. The method further includes sending the modulated signal.
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公开(公告)号：US20210410161A1
公开(公告)日：2021-12-30
申请号：US17471640
申请日：2021-09-10
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Abstract: According to a scheduling method and apparatus in a communication system, and a storage medium, a communication device obtains system status information, where the system status information includes network status information; obtains a scheduling policy based on the system status information and a deep neural network; and performs communication according to the scheduling policy. The deep neural network is obtained through training based on historical system status information, and the historical system status information includes system status information in all scheduling periods before a current scheduling period. Therefore, the scheduling policy obtained based on the deep neural network can meet a balancing requirement of throughput and fairness and solves a problem of low performance of an existing communication system.
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公开(公告)号：US20210314087A1
公开(公告)日：2021-10-07
申请号：US17232769
申请日：2021-04-16
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor： Lingchen HUANG , Shengchen DAI , Chen XU , Yunfei QIAO , Rong LI
Abstract: This application provides an encoding method and apparatus in wireless communications between a network device and a terminal. The method includes: performing cyclic redundancy check (CRC) encoding on A to-be-encoded information bits based on a CRC polynomial, to obtain a first bit sequence, where the first bit sequence includes L CRC bits and A information bits, L=11; and performing polar encoding on the first bit sequence.
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