DCI SIZE LIMIT AND DROPPING RULE FOR REDUCED CAPABILITY UE

    公开(公告)号:US20240007900A1

    公开(公告)日:2024-01-04

    申请号:US18252768

    申请日:2021-01-09

    Inventor: Yuwei Ren Huilin Xu

    CPC classification number: H04W28/06 H04W72/232 H04W72/56

    Abstract: Systems and method for providing downlink control information (DCI) sizes prioritization rules to enable a wireless network to monitor and decode a number of DCI sizes without exceeding a DCI sizes budget of a UE are disclosed. In embodiments, a UE monitors for a downlink control information (DCI) message having one of a number of different formats and one of a number of different sizes. The UE is configured with a DCI sizes budget indicating a number of different DCI sizes that the UE is configured to decode. The UE applies a DCI sizes prioritization rule to generate a prioritized set of DCI sizes. The prioritized set of DCI sizes includes a number of DCI sizes to be monitored, which is less than or equal to the DCI sizes budget. The UE decodes the DCI message based on the prioritized set of DCI sizes.

    Narrowband demodulation reference signal bundling for physical downlink control channels

    公开(公告)号:US11804936B2

    公开(公告)日:2023-10-31

    申请号:US17595228

    申请日:2019-05-31

    CPC classification number: H04L5/0051 H04L5/0064

    Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a base station (BS) may process, for a plurality of search space (SS) set occasions, a plurality of narrowband (NB) demodulation reference signals (DMRSs) using a common precoder in a common resource element group (REG). The BS may transmit the plurality of NB DMRSs within a union of REGs of each physical downlink control channel for each aggregation level configured for the plurality of SS set occasions. Numerous other aspects are provided.

    Complexity reduction for slot format determination

    公开(公告)号:US12267819B2

    公开(公告)日:2025-04-01

    申请号:US17758056

    申请日:2020-01-25

    Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment may determine to not support one or more downlink control information communications for dynamic slot format determination, and determine a slot format based at least in part on radio resource control signaling from a network. Numerous other aspects are provided.

    CONFIGURING A MULTI-MODEL MACHINE LEARNING APPLICATION

    公开(公告)号:US20240163694A1

    公开(公告)日:2024-05-16

    申请号:US18549750

    申请日:2021-06-02

    Inventor: Yuwei Ren Huilin Xu

    CPC classification number: H04W24/02 H04L41/16

    Abstract: Methods, systems, and devices for wireless communications are described. A user equipment (UE) may receive a control message identifying a backbone model that is combinable with at least one task-specific model to generate a multi-model machine learning application. The UE may receive the backbone model and a first task-specific model identified by the control message. The UE use a multi-model machine learning application that is a combination of the backbone model and the first task-specific model to process one or more received signals to generate one or more outputs. The UE may communicate with a wireless device based on the one or more outputs.

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