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.

    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.

    Partial-bandwidth feedback for beam combination codebook

    公开(公告)号:US11595097B2

    公开(公告)日:2023-02-28

    申请号:US17429488

    申请日:2020-02-15

    Abstract: Methods, systems, and devices for wireless communications are described. In some systems, a user equipment (UE) may perform channel state information (CSI) measurements on one or more reference signal transmissions received from a base station. Based on the CSI measurements, the UE may generate a CSI report, and the UE may transmit the CSI report to the base station. In some cases, the generated CSI report may include a first portion and a second portion. The first portion may indicate whether the second portion of the CSI report includes full-band CSI feedback or partial-band CSI feedback. The second portion may provide the CSI feedback for one or more identified sub-bands. In some cases, the second portion may include a sub-band index indicating the identified sub-bands. Additionally or alternatively, the second portion may include a bitmap indicating a correspondence between multiple CSI feedback values and multiple corresponding sub-band indexes.

    Enhancement by aggressor victim relation

    公开(公告)号:US11483775B2

    公开(公告)日:2022-10-25

    申请号:US17269337

    申请日:2019-09-26

    Abstract: Methods, systems, and devices for wireless communications are described. Generally, the described techniques provide for managing remote interference using a previously detected relationship between an aggressor base station and a victim base station. The described techniques provide for allocating reference signal sequences for various victim base stations to send to an aggressor base station. The victim base station may trigger the aggressor base station to perform reference signal monitoring based on the previously detected victim-aggressor relationship, and may transmit a reference signal carrying a unique identifier based on the triggering. The first base station may send a request that the second base station to transmit a reference signal for enabling the first base station to measure interference of a wireless channel, and performing interference mitigation techniques at the first base station, the second base station, or both, to mitigate the remote interference.

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