CONFIGURING DIFFERENT UPLINK POWER CONTROL FOR LONG AND SHORT UPLINK BURSTS

    公开(公告)号:US20180213485A1

    公开(公告)日:2018-07-26

    申请号:US15879322

    申请日:2018-01-24

    Abstract: Aspects of the present disclosure provide techniques for a user equipment (UE) to set uplink power control for a long uplink burst and a short uplink burst. The UE receives uplink power control information including a first set of power control parameters for a long uplink burst and a second set of power control parameters for a short uplink burst with the sets of power control parameters being different from each other. The UE configures uplink power control for the long uplink burst based at least on the first set of power control parameters and the short uplink burst based at least on the second set of power control parameters. The UE sends at least one of a long uplink burst and a short uplink burst based on the corresponding uplink power control and sends at least one uplink power-headroom report for the long uplink burst and short uplink burst.

    TECHNIQUES FOR REPORTING DELAY BUDGETS FOR URLLC UPLINK TRANSMISSIONS

    公开(公告)号:US20180042042A1

    公开(公告)日:2018-02-08

    申请号:US15432259

    申请日:2017-02-14

    Abstract: A method and apparatus for reporting delay budgets for Ultra-Reliable Low-Latency Communications (URLLC) uplink transmissions during wireless communications are described. The method and apparatus include receiving one or more URLLC data packets at a medium access control (MAC) buffer of a user equipment (UE), the one or more URLLC data packets scheduled for transmission to a network entity. The method and apparatus include determining a delay budget for the one or more URLLC data packets at the MAC buffer, the delay budget including information corresponding to an expiration of a transmission deadline. The method and apparatus include transmitting the delay budget to the network entity to allocate resources on an uplink data channel such that transmissions of the one or more URLLC data packets from the UE to the network entity satisfy a reliability threshold.

    POWER MANAGEMENT FOR RAN-WLAN INTEGRATION
    96.
    发明申请
    POWER MANAGEMENT FOR RAN-WLAN INTEGRATION 有权
    RAN-WLAN集成的电源管理

    公开(公告)号:US20150016323A1

    公开(公告)日:2015-01-15

    申请号:US14330780

    申请日:2014-07-14

    Abstract: Certain aspects of the present disclosure provide methods and apparatus for modified power management for UEs in a wireless communication system that utilizes one or more RANs for communication. For example, certain aspects of the present disclosure relate to a technique for controlling when the UE is placed in a low power state in the first RAN based, at least in part, on inactivity of the UE in the first RAN. Certain aspects of the present disclosure also relate to controlling when to modify one or more network bearers between the first RAN or the second RAN and the core network based, at least in part, on at least one of inactivity on the one or more network bearers or inactivity in both the first RAN and the second RAN. According to certain aspects, the first RAN may include a WWAN and the second RAN may include a WLAN.

    Abstract translation: 本公开的某些方面提供了在利用一个或多个RAN进行通信的无线通信系统中用于UE的修改的功率管理的方法和装置。 例如,本公开的某些方面涉及一种技术,用于至少部分地基于第一RAN中的UE的不活动来控制UE何时在第一RAN中处于低功率状态。 本公开的某些方面还涉及至少部分地基于一个或多个网络承载上的不活动中的至少一个来控​​制何时修改第一RAN或第二RAN与核心网之间的一个或多个网络承载 或第一RAN和第二RAN中的不活动。 根据某些方面,第一RAN可以包括WWAN,并且第二RAN可以包括WLAN。

    ARTIFICIAL INTELLIGENCE MODEL ASSISTANCE INFORMATION

    公开(公告)号:US20250063386A1

    公开(公告)日:2025-02-20

    申请号:US18764892

    申请日:2024-07-05

    Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive, based at least in part on one or more performance metrics associated with an artificial intelligence (AI) model associated with wireless communication, assistance information associated with an expected performance of the AI model. The UE may assess, based at least in part on the assistance information, the expected performance of the AI model. Numerous other aspects are described.

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