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1.
公开(公告)号:US20240162955A1
公开(公告)日:2024-05-16
申请号:US18550398
申请日:2022-07-12
申请人: Intel Corporation
发明人: Nicholas Whinnett , Dawei Ying , Bishwarup Mondal , Jan Schreck , Jaemin Han , Leifeng Ruan , Jianli Sun
IPC分类号: H04B7/06 , H04B7/0452
CPC分类号: H04B7/0617 , H04B7/0452 , H04B7/063 , H04B7/0632
摘要: Various embodiments herein are directed to beamforming associated with multiple-input multiple-output (MIMO) modes in open radio access network (O-RAN) systems. In one embodiment, an apparatus comprises: memory to store beamforming configuration information associated with a plurality MIMO modes; and processing circuitry, coupled with the memory to: retrieve the beamforming configuration information from the memory; request, based on the beamforming configuration information, measurements associated with the plurality of MIMO modes; receive the measurements associated with the plurality of MIMO modes; and based on the received measurements, train an artificial intelligence/machine learning (AI/ML) model that is to predict relative beamforming performance between the plurality of MIMO modes.
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公开(公告)号:US20240214272A1
公开(公告)日:2024-06-27
申请号:US18550276
申请日:2022-07-05
申请人: Intel Corporation
发明人: Dawei Ying , Leifeng Ruan , Jaemin Han , Qian Li
IPC分类号: H04L41/0894
CPC分类号: H04L41/0894
摘要: The present invention relates to an apparatus comprising: memory to store policy statement information for a plurality of radio access network (RAN) automation applications (rApps); and processing circuitry, coupled with the memory, to: retrieve the policy statement information from the memory, wherein the policy statement information includes respective policy scope identifiers for respective rApps in the plurality of rApps; identify a conflict associated with common or overlapping policy scope identifiers between two or more rApps from the plurality of rApps; modify one or more A1 policies associated with an A1 interface connecting a non-real-time (non-RT) RAN intelligence controller (RIC) and a near-real-time (near-RT) RIC to resolve the conflict; and notify the two or more rApps of the modification of the one or more A1 policies.
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公开(公告)号:US20220167262A1
公开(公告)日:2022-05-26
申请号:US17540613
申请日:2021-12-02
申请人: Intel Corporation
发明人: Zongrui Ding , Qian Li , Xiaopeng Tong , Leifeng Ruan
摘要: Systems, apparatuses, methods, and computer-readable media, are provided for selecting edge or central servers for serving client systems based on network events monitored by one or more network elements. Embodiments may be relevant to multi-access edge computing (MEC) and Automotive Edge Computing Consortium (AECC) technologies. Other embodiments may be described and/or claimed.
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公开(公告)号:US11234204B2
公开(公告)日:2022-01-25
申请号:US16786546
申请日:2020-02-10
申请人: Intel Corporation
发明人: Zongrui Ding , Qian Li , Xiaopeng Tong , Leifeng Ruan
摘要: Systems, apparatuses, methods, and computer-readable media, are provided for selecting edge or central servers for serving client systems based on network events monitored by one or more network elements. Embodiments may be relevant to multi-access edge computing (MEC) and Automotive Edge Computing Consorium (AECC) technologies. Other embodiments may be described and/or claimed.
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5.
公开(公告)号:US11627444B2
公开(公告)日:2023-04-11
申请号:US16981661
申请日:2019-06-05
申请人: Intel Corporation
发明人: Leifeng Ruan , Soo Jin Tan , Xiaopeng Tong , Dario Sabella , Qian Li , Zongrui Ding
摘要: Systems, apparatuses, methods, and computer-readable media, are provided for managing background data transfer sessions based on network events monitored by one or more network elements. Embodiments may be relevant to multi-access edge computing (MEC) and Automotive Edge Computing Consortium (AECC) technologies. Other embodiments may be described and/or claimed.
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公开(公告)号:US20220286305A1
公开(公告)日:2022-09-08
申请号:US17638728
申请日:2019-09-27
申请人: Intel Corporation
发明人: Soo Jin Tan , Qian Li , Leifeng Ruan
摘要: Various systems and methods for implementing secure high-definition map services are described herein. A system for implementing secure high-definition map services includes a processor subsystem; and a storage including instructions, which when executed by the processor subsystem, cause the processor subsystem to: receive map data from a remote data source; authenticate the remote data source; obtain an identifier of the remote data source; add the map data to an entry in an immutable log when the remote data source is authenticated, the entry having an entry identifier; store an association between the identifier of the remote data source and the entry identifier in a secure store; and incorporate the map data into a master map.
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公开(公告)号:US20200178198A1
公开(公告)日:2020-06-04
申请号:US16786546
申请日:2020-02-10
申请人: Intel Corporation
发明人: Zongrui Ding , Qian Li , Xiaopeng Tong , Leifeng Ruan
摘要: Systems, apparatuses, methods, and computer-readable media, are provided for selecting edge or central servers for serving client systems based on network events monitored by one or more network elements. Embodiments may be relevant to multi-access edge computing (MEC) and Automotive Edge Computing Consortium (AECC) technologies. Other embodiments may be described and/or claimed.
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8.
公开(公告)号:US20240354654A1
公开(公告)日:2024-10-24
申请号:US18652374
申请日:2024-05-01
申请人: Intel Corporation
发明人: Dawei Ying , Jaemin Han , Leifeng Ruan , Hui Ma , Qian Li
摘要: A machine-readable storage medium, an apparatus and a method, each corresponding to either a service consumer or a service producer of a non-real-time (non-RT) radio access network intelligent controller (RIC) of a Service Management and Orchestration Framework (SMO FW). Communications from the service consumer to the service producer include: a training request for artificial intelligence/machine learning (AI/ML) training job; a query regarding a training status of the AI/ML training job; a cancel training request to cancel the AI/ML training job; and a notification regarding the training status of the AI/ML training job.
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公开(公告)号:US20240137288A1
公开(公告)日:2024-04-25
申请号:US18399314
申请日:2023-12-28
申请人: Intel Corporation
发明人: Geng Wu , Leifeng Ruan , Qian Li , Dawei Ying
IPC分类号: H04L41/16 , G06F18/214 , H04L47/70 , H04L47/762 , H04L47/783
CPC分类号: H04L41/16 , G06F18/214 , H04L47/762 , H04L47/783 , H04L47/822
摘要: A data-centric network and non-Real-Time (RT) RAN Intelligence Controller (RIC) architecture are described. The data-centric network architecture provides data plane functions (DPFs) that serve as a shared database for control functions, user functions and management functions for data plane resources in a network. The DPFs interact with control plane functions, user plane functions, management plane functions, compute plane functions, network exposure functions, and application functions of the NR network via a service interface. The non-RT RIC provides functions via rApps, manages the rApps, performs conflict mitigation and security functions, monitors machine learning (ML) performance, provides a ML model catalog that contains ML model information, provides interface terminations and stores ML data and Near-RT RIC related information in a database. An ML training host trains and evaluates ML models in the catalog, obtains training and testing data from the database, and retrains and updates the ML models.
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公开(公告)号:US11902104B2
公开(公告)日:2024-02-13
申请号:US17186526
申请日:2021-02-26
申请人: Intel Corporation
发明人: Geng Wu , Leifeng Ruan , Qian Li , Dawei Ying
IPC分类号: H04L41/16 , H04L47/783 , H04L47/762 , H04L47/70 , G06F18/214
CPC分类号: H04L41/16 , G06F18/214 , H04L47/762 , H04L47/783 , H04L47/822
摘要: A data-centric network and non-Real-Time (RT) RAN Intelligence Controller (RIC) architecture are described. The data-centric network architecture provides data plane functions (DPFs) that serve as a shared database for control functions, user functions and management functions for data plane resources in a network. The DPFs interact with control plane functions, user plane functions, management plane functions, compute plane functions, network exposure functions, and application functions of the NR network via a service interface. The non-RT RIC provides functions via rApps, manages the rApps, performs conflict mitigation and security functions, monitors machine learning (ML) performance, provides a ML model catalog that contains ML model information, provides interface terminations and stores ML data and Near-RT RIC related information in a database. An ML training host trains and evaluates ML models in the catalog, obtains training and testing data from the database, and retrains and updates the ML models.
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