DATA-CENTRIC COMPUTING AND COMMUNICATION INFRASTRUCTURE

    公开(公告)号:US20240236649A9

    公开(公告)日:2024-07-11

    申请号:US18278801

    申请日:2022-05-02

    Inventor: Qian Li Geng Wu

    CPC classification number: H04W8/22 H04L41/342 H04W8/18 H04W72/232

    Abstract: An apparatus and system are described to provide functions and procedures in a data-centric infrastructure (DCI). The logical architecture includes an infrastructure orchestration function and controller. Interactions between the infrastructure orchestration function and controller include a function request to form or release a logical computing node, or modify the logical computing node through addition or removal of at least one of a function-dedicated computing (FDC) function, a data plane (DP) function, or a function-dedicated network (FDN) function to the logical computing node. The controller configures the FDC/DP/FDN functions and sends a response indicating completion of operations performed by the controller that are related to the function request.

    SIGNALING ENHANCEMENTS OF SMTC CONFIGURATION FOR AN IAB MT

    公开(公告)号:US20200374735A1

    公开(公告)日:2020-11-26

    申请号:US16991839

    申请日:2020-08-12

    Abstract: Embodiments herein provide mechanisms for configuring an integrated access and backhaul (IAB) mobile termination (MT) with one or more SMTCs. In embodiments the IAB MT may receive a radio resource control (RRC) information element (IE) with configuration information for one or more synchronization signal/physical broadcast channel (PBCH) block (SSB) measurement time configurations (SMTCs). For example, in some embodiments, the RRC IE may include configuration information for multiple SMTCs (e.g., 4 SMTCs). The IAB MT may perform one or more measurements on the multiple SMTCs and/or a selected one of the SMTCs. Other embodiments may be described and claimed.

    DATA-CENTRIC SERVICE-BASED NETWORK ARCHITECTURE

    公开(公告)号:US20240137288A1

    公开(公告)日:2024-04-25

    申请号:US18399314

    申请日:2023-12-28

    Abstract: 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.

    Data-centric service-based network architecture

    公开(公告)号:US11902104B2

    公开(公告)日:2024-02-13

    申请号:US17186526

    申请日:2021-02-26

    Abstract: 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.

    Multiplexing capability signaling for integrated access and backhaul (IAB) nodes

    公开(公告)号:US11792891B2

    公开(公告)日:2023-10-17

    申请号:US17088684

    申请日:2020-11-04

    CPC classification number: H04W88/14 H04W8/24 H04W72/535 H04W76/27

    Abstract: To configure an IAB node for multiplexing communications within an IAB network, processing circuitry is to encode configuration signaling for transmission to a CU function of an IAB donor node. The configuration signaling indicates a multiplexing capability of the IAB node. RRC signaling from the CU function of the IAB donor node is decoded. The RRC signaling configures scheduling resources for a parent backhaul link between the MT function of the IAB node and a DU function of a parent IAB node based on the multiplexing capability of the MT and DU functions of the IAB node. Uplink data is encoded for transmission to the parent IAB node by the MT function using to the scheduling resources for the parent backhaul link. Transmission of the uplink data is multiplexed with transmission or reception of data by the DU function of the IAB node based on the multiplexing capability.

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