GRANT PROCESSING DURING GRANT-FREE UPLINK REPETITIONS

    公开(公告)号:US20190268932A1

    公开(公告)日:2019-08-29

    申请号:US16280708

    申请日:2019-02-20

    Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive a grant that identifies a set of uplink resources. The UE may determine whether a timing of the grant overlaps with a repetition window of a grant-free uplink communication configured on the UE. The UE may process the grant based at least in part on whether the timing of the grant overlaps with the repetition window of the grant-free uplink communication. Numerous other aspects are provided.

    UE-ASSISTED NETWORK OPTIMIZATION METHODS
    29.
    发明申请
    UE-ASSISTED NETWORK OPTIMIZATION METHODS 有权
    UE辅助网络优化方法

    公开(公告)号:US20140073317A1

    公开(公告)日:2014-03-13

    申请号:US13802014

    申请日:2013-03-13

    Abstract: A UE or mobile entity in a wireless communication may assist network optimization by determining a location uncovered by a wireless network, generate a coverage hole detected message if one or more conditions associated with the uncovered location are satisfied, and determining a time to transmit the coverage hole detected message to a covered wireless network. The covered network may act on the message to add covered in a second network so that the second network covers the UE. In other aspects, a UE or mobile entity may detect cell congestion in a first cell and assist the network in offloading congestion from the congested cell. In other aspects, a UE or mobile entity may detect backhaul congestion on a first cell, and assist in offloading backhaul communication for the first cell via a second cell.

    Abstract translation: 无线通信中的UE或移动实体可以通过确定由无线网络未覆盖的位置来帮助网络优化,如果满足与未覆盖位置相关联的一个或多个条件,则生成覆盖孔检测到的消息,并且确定发送覆盖的时间 孔检测到的消息到覆盖的无线网络。 被覆盖的网络可以对在第二网络中覆盖的消息进行操作,使得第二网络覆盖UE。 在其他方面,UE或移动实体可以检测第一小区中的小区拥塞,并帮助网络从拥塞小区中卸载拥塞。 在其他方面,UE或移动实体可以检测第一小区的回程拥塞,并且有助于经由第二小区卸载第一小区的回程通信。

    ENCODERS AND DECODERS FOR VECTOR COMPRESSION

    公开(公告)号:US20250150896A1

    公开(公告)日:2025-05-08

    申请号:US18919398

    申请日:2024-10-17

    Abstract: Some examples of the techniques described herein may provide encoding or decoding approaches to generate vectors that meet an orthogonality condition in vector compression procedures (e.g., vector compression or decompression). Encoder layers (e.g., neural network layers) on the encode side may generate orthogonal compressed vectors or decoder layers (e.g., neural network layers) on the decode side may generate orthogonal decompressed vectors. For instance, a neural network layer may be trained to generate a compressed or decompressed vector that satisfies an orthogonality condition relative to one or more previously compressed or decompressed vectors in accordance with a dependency order or a compression sequence. An indication of the dependency order may be communicated between the encode side and the decode side to order encoder or decoder layers (e.g., to execute encoder or decoder layers in the compression sequence) to produce compressed or decompressed vectors that satisfy an orthogonality condition.

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