STATE TRANSITION MANAGEMENT IN WIRELESS COMMUNICATION

    公开(公告)号:US20230171839A1

    公开(公告)日:2023-06-01

    申请号:US17995787

    申请日:2021-03-05

    CPC classification number: H04W76/20 H04W74/04 H04W74/0833 H04W76/30

    Abstract: Examples of the present disclosure relates to a user equipment (UE), centralized unit (gNB-CU) of an access node (gNB), a distributed unit (gNB-DU), and an access node for managing the UE’s state transition. In an example of the present disclosure there is provided a UE comprising means receiving, from an access node, at least one first message for transitioning the UE from an RRC connected state to an RRC inactive state, wherein the at least one message comprises configuration information that enables the UE to use Contention Free Random Access (CFRA). The UE further comprises means for sending, using CFRA based at least in part on the configuration information, at least one second message for transitioning the UE from a Radio Resource Control (RRC) inactive state to an RRC connected state.

    APPARATUSES, METHODS AND COMPUTER PROGRAMS FOR EXCHANGING IMPACT INFORMATION

    公开(公告)号:US20250048216A1

    公开(公告)日:2025-02-06

    申请号:US18762175

    申请日:2024-07-02

    Abstract: According to various, but not necessarily all, examples there is provided an apparatus for a network node, the apparatus comprising: means for sending a message to a target network node, the message comprising a request for measurement information of a measurement on an energy cost of the target network node, and the message comprising a message field requesting impact information of an impact of at least one other network node on the measurement; means for receiving from the target network node the measurement information and the impact information; and means for performing, based on the measurement information and the impact information, at least one action related to traffic offloading.

    AI/ML CONFIGURATION FEEDBACK
    15.
    发明公开

    公开(公告)号:US20240113796A1

    公开(公告)日:2024-04-04

    申请号:US18477156

    申请日:2023-09-28

    CPC classification number: H04B17/3913 H04B17/201

    Abstract: Apparatus comprising:



    one or more processors, and memory storing instructions that, when executed by the one or more processors, cause the apparatus to perform:
    monitoring whether a terminal suffers a performance issue due to an artificial intelligence/machine learning operation performed by the terminal;
    performing an action related to the artificial intelligence/machine learning operation to remove or reduce the performance issue if the terminal suffers the performance issue due to the artificial intelligence/machine learning operation.

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