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公开(公告)号:US20250159558A1
公开(公告)日:2025-05-15
申请号:US19028270
申请日:2025-01-17
Applicant: Huawei Technologies Co., Ltd.
Inventor: Qing Wei , Riccardo Trivisonno , Apostolos Kousaridas , Emmanouil Pateromichelakis , Mirko Schramm
Abstract: The present disclosure relates to handover (HO) of a user equipment (UE), which consumes a quality of service (QoS) flow that is associated with multiple QoS profiles. The disclosure proposes a network entity for supporting HO of the UE, and proposes a second network entity that is the target of HO of the UE. The network entity is configured to: obtain multiple QoS profiles associated with a QoS flow; obtain QoS capability information indicating whether the second network entity supports more than one QoS profile and/or whether a first network entity supports more than one QoS profile; and provide at least one message to the second network entity, wherein the at least one message includes at least one QoS profile according to the QoS capability information.
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公开(公告)号:US12231967B2
公开(公告)日:2025-02-18
申请号:US17670771
申请日:2022-02-14
Applicant: Huawei Technologies Co., Ltd.
Inventor: Qing Wei , Riccardo Trivisonno , Apostolos Kousaridas , Emmanouil Pateromichelakis , Mirko Schramm
Abstract: The present disclosure relates to handover (HO) of a user equipment (UE), which consumes a quality of service (QoS) flow that is associated with multiple QoS profiles. The disclosure proposes a network entity for supporting HO of the UE, and proposes a second network entity that is the target of HO of the UE. The network entity is configured to: obtain multiple QoS profiles associated with a QoS flow; obtain QoS capability information indicating whether the second network entity supports more than one QoS profile and/or whether a first network entity supports more than one QoS profile; and provide at least one message to the second network entity, wherein the at least one message includes at least one QoS profile according to the QoS capability information.
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公开(公告)号:US20240064558A1
公开(公告)日:2024-02-22
申请号:US18501719
申请日:2023-11-03
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor: Sandip Gangakhedkar , Hanwen Cao , Josef Eichinger , Qing Wei , Hui Ni
IPC: H04W28/02 , H04L47/2475 , H04L47/28 , H04W28/24
CPC classification number: H04W28/0268 , H04L47/2475 , H04L47/28 , H04W28/24
Abstract: The present disclosure relates to time-aware Quality-of-Service (QoS), in particular techniques for providing time-aware QoS in communication systems such as 5G NR (New Radio). In particular the disclosure relates to a device for translating between a first communication network, in particular a deterministic communication network, and a second communication network, in particular a mobile communication network, in particular a 5G communication network, wherein the device comprises: an application function that is configured to translate between Quality-of-Service (QoS) parameters of the first communication network and QoS parameters of the second communication network; a QoS profile comprising the QoS parameters of the first communication network translated by the application function and, optionally, additional QoS parameters originating from the second communication network; and a signaling procedure configured to exchange the translated QoS parameters within the second communication network.
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公开(公告)号:US11638205B2
公开(公告)日:2023-04-25
申请号:US16869963
申请日:2020-05-08
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor: Qing Wei , Ömer Bulakci , Henrik Olofsson
Abstract: Embodiment of the invention describe an apparatus for an access node, which is configured to receive slice-support information; and/or receive slice-context information and determine slice-support information based on the slice-context information; wherein the slice-support information comprises a mapping of a slice to an area, in particular a tracking area or a slice-support area; and process a slice-related information based on the slice-support information.
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公开(公告)号:US20220167217A1
公开(公告)日:2022-05-26
申请号:US17670771
申请日:2022-02-14
Applicant: Huawei Technologies Co., Ltd.
Inventor: Qing Wei , Riccardo Trivisonno , Apostolos Kousaridas , Emmanouil Pateromichelakis , Mirko Schramm
Abstract: The present disclosure relates to handover (HO) of a user equipment (UE), which consumes a quality of service (QoS) flow that is associated with multiple QoS profiles. The disclosure proposes a network entity for supporting HO of the UE, and proposes a second network entity that is the target of HO of the UE. The network entity is configured to: obtain multiple QoS profiles associated with a QoS flow; obtain QoS capability information indicating whether the second network entity supports more than one QoS profile and/or whether a first network entity supports more than one QoS profile; and provide at least one message to the second network entity, wherein the at least one message includes at least one QoS profile according to the QoS capability information.
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6.
公开(公告)号:US20220007321A1
公开(公告)日:2022-01-06
申请号:US17479720
申请日:2021-09-20
Applicant: Huawei Technologies Co., Ltd.
Inventor: Hanwen Cao , Sandip Gangakhedkar , Qing Wei
Abstract: The present disclosure provides a network entity for a wireless network system. The network entity is configured to obtain an ingress time of a received packet, the ingress time indicating the time at which the packet enters the network system, determine time information regarding the packet based on the ingress time, and provide the time information to another network entity. A further network entity for a wireless network system is configured to obtain time information regarding a received packet from another network entity, and obtain an egress time of the packet, the egress time indicating a time at which the packet leaves the network system, based on the time information. This disclosure also relates to the network entities that are configured to synchronize an internal time valid at the network entities with an external time valid at an external network entity.
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公开(公告)号:US20250023792A1
公开(公告)日:2025-01-16
申请号:US18809531
申请日:2024-08-20
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor: Qing Wei , Clarissa Marquezan , Yang Xin , Xiaobo Wu
Abstract: The disclosure relates to a network entity for determining at least one model parameter of a model for digitally analyzing input data depending on the at least one model parameter of a model, the network entity being configured to receive a model request from a requesting entity over the communication network, the model request requesting the at least one model parameter of the model, to obtain the requested at least one model parameter by at least one of the following: executing a machine-learning model training algorithm, the machine-learning model training algorithm being configured to train the model with input data in order to determine at least one of the requested model parameter; searching a local data base for an existing model; or requesting the at least one model parameter from a further network entity; and to send the requested model parameter towards the requesting entity over the communication network.
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8.
公开(公告)号:US20240357409A1
公开(公告)日:2024-10-24
申请号:US18762366
申请日:2024-07-02
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor: Clarissa Marquezan , Qing Wei , Yang Xin , Xiaobo Wu , Weiwei Chong
IPC: H04W24/10
CPC classification number: H04W24/10
Abstract: A first entity for a communication network is provided. The first entity is configured to receive a feature mapping indication from a second entity of the communication network. The feature mapping indication comprises characteristics of a relationship between a set of data samples and properties of data in the data samples of the set of data samples for an analytics model at an analytics stage, wherein the feature mapping indication comprises a request for a feature mapping data structure. The feature mapping data structure includes a second set of data samples based on the relationship between the set of data samples and the properties of the data in the data samples of the set of data samples for use with the analytics model at the analytics stage for an analytics consumer.
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公开(公告)号:US12081410B2
公开(公告)日:2024-09-03
申请号:US17856740
申请日:2022-07-01
Applicant: Huawei Technologies Co., Ltd.
Inventor: Qing Wei , Clarissa Marquezan , Yang Xin , Xiaobo Wu
IPC: G06F15/173 , H04L41/12 , H04L41/14 , H04L41/16
CPC classification number: H04L41/145 , H04L41/12 , H04L41/16
Abstract: A network entity determines at least one model parameter of a model for digitally analyzing input data depending on the at least one model parameter of a model, the network entity being configured to receive a model request from a requesting entity over the communication network, the model request requesting the at least one model parameter of the model, to obtain the requested at least one model parameter by at least one of the following: executing a machine-learning model training algorithm, the machine-learning model training algorithm being configured to train the model with input data in order to determine at least one of the requested model parameter; searching a local data base for an existing model; or requesting the at least one model parameter from a further network entity; and to send the requested model parameter towards the requesting entity over the communication network.
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公开(公告)号:US12040947B2
公开(公告)日:2024-07-16
申请号:US17707589
申请日:2022-03-29
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor: Yang Xin , Xiaobo Wu , Weiwei Chong , Qing Wei
IPC: H04L41/12 , H04L41/0853 , H04L41/16
CPC classification number: H04L41/12 , H04L41/0853 , H04L41/16
Abstract: The present disclosure relates to methods and apparatus for determining device information. In one example method, an inference device sends a first request to a service discovery entity. The first request is used to request information about one or more training devices, and the first request includes an algorithm type or an algorithm identifier of a first model requested by the inference device. The inference device receives the information about the one or more training devices from the service discovery entity. The information about the one or more training devices includes capability information. The inference device determines a first training device from the information about the one or more training devices based on a preset condition.
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