MANAGEMENT OF CROSS-NODE MACHINE LEARNING OPERATIONS IN A RADIO ACCESS NETWORK

    公开(公告)号:US20250126025A1

    公开(公告)日:2025-04-17

    申请号:US18379469

    申请日:2023-10-12

    Abstract: Certain aspects of the present disclosure provide techniques for managing cross-node artificial intelligence (AI) and/or machine learning (ML) operations in a radio access network (RAN). An example method of wireless communication by a first network entity includes obtaining machine learning input data associated with a user equipment (UE); providing, to a second network entity, an indication of machine learning output data generated using the machine learning input data; and providing, to the second network entity, control signaling for a cross-node machine learning session between the UE and the first network entity based at least in part on one or more performance indicators associated with the cross-node machine learning session.

    MOBILITY HANDLING OF CROSS-NODE MACHINE LEARNING SESSION IN A RADIO ACCESS NETWORK

    公开(公告)号:US20250126526A1

    公开(公告)日:2025-04-17

    申请号:US18379474

    申请日:2023-10-12

    Abstract: Certain aspects of the present disclosure provide techniques for handling user equipment (UE) mobility for a cross-node artificial intelligence (AI) and/or machine learning (ML) session in a radio access network (RAN). A method of wireless communication by a first network entity includes obtaining, from a second network entity, an indication of a handover for a UE; obtaining, from a third network entity, an indication of first cross-node machine learning information associated with a cross-node machine learning session between the UE and the third network entity; providing, to the second network entity, an indication acknowledging the handover; and relaying communications between the UE and the third network entity for the cross-node machine learning session.

    COVERAGE GAP MANAGEMENT FOR NON-TERRESTRIAL NETWORKS

    公开(公告)号:US20240048232A1

    公开(公告)日:2024-02-08

    申请号:US18356929

    申请日:2023-07-21

    CPC classification number: H04B7/18519

    Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may access a serving network via a satellite while in a first state with the serving network, the first state comprising a connected state. The UE may transmit, to the serving network and based on a determination that a coverage gap associated with the satellite is upcoming, a coverage gap indication that indicates that the coverage gap is upcoming. The UE may transition from the connected state to a second state at or before a start of the coverage gap. Numerous other aspects are described.

    CROSS-NODE MACHINE LEARNING OPERATIONS IN A RADIO ACCESS NETWORK

    公开(公告)号:US20250126585A1

    公开(公告)日:2025-04-17

    申请号:US18379475

    申请日:2023-10-12

    Abstract: Certain aspects of the present disclosure provide techniques for performing cross-node machine learning operations in a radio access network. An example method of wireless communication by a first network entity includes providing, to a second network entity, an indication of cross-node machine learning information used for a cross-node machine learning session between the first network entity and a user equipment (UE); obtaining machine learning information associated with the UE; and controlling the cross-node machine learning session based at least in part on the machine learning information.

    NON-TERRESTRIAL NETWORK GATEWAY
    9.
    发明申请

    公开(公告)号:US20250113274A1

    公开(公告)日:2025-04-03

    申请号:US18476974

    申请日:2023-09-28

    Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a network node may establish a network interface link with a centralized unit (CU). The network node may establish a set of one or more network interface links with a set of one or more distributed units (DUs). The network node may receive a first communication intended for a destination node via the network interface link. The network node may transmit the first communication to a first DU of the set of one or more DUs via a first network interface link of the set of one or more network interface links. The network node may receive a second communication intended for the destination node via the network interface link. The network node may transmit, after transmitting the first communication via the first network interface link, the second communication to a second DU via a second network interface link. Numerous other aspects are described.

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