TRANSMITTING CHANNEL STATE INFORMATION REFERENCE SIGNALS IN NEW RADIO

    公开(公告)号:US20190342042A1

    公开(公告)日:2019-11-07

    申请号:US16466697

    申请日:2017-12-02

    Abstract: Certain aspects of the present disclosure provide techniques for transmitting and processing channel state information (CSI) reference signals (CSI-RS). An exemplary method includes determining a configuration of channel state information reference signals (CSI-RSs), wherein the configuration indicates a set of resource elements (REs) to be used for CSI-RSs and a first mapping of CSI-RS ports to the set of REs; sending an indication of the configuration of the CSI-RSs; and transmitting the CSI-RSs according to the determined configuration.

    REFERENCE SIGNAL DESIGN
    64.
    发明申请

    公开(公告)号:US20180097594A1

    公开(公告)日:2018-04-05

    申请号:US15619086

    申请日:2017-06-09

    CPC classification number: H04L5/0048 H04L27/2613 H04W72/0413

    Abstract: Various additional and alternative aspects are described herein. In some aspects, the present disclosure provides a method for wireless communication. The method includes determining at least one RS pattern for allocating a reference signal on an uplink channel and a downlink channel based on one or more transmission factors for transmitting the reference signal, wherein at least a portion of the at least one RS pattern is the same for the uplink channel and the downlink channel. The method further includes transmitting the reference signal using the determined RS pattern.

    PER-TONE PRECODING FOR DOWNLINK MIMO TRANSMISSION

    公开(公告)号:US20170180020A1

    公开(公告)日:2017-06-22

    申请号:US15377934

    申请日:2016-12-13

    CPC classification number: H04B7/0456

    Abstract: In an aspect of the disclosure, a method, a computer-readable medium, and an apparatus are provided. The apparatus may be a base station. The base station estimates a first channel matrix observed by a first UE. The base station also applies a SVD to the first channel matrix to obtain a left singular vector matrix and a right singular vector matrix of the first channel matrix. The base station further determines a first precoding matrix based on a product of the right singular vector matrix and a conjugate transpose of the left singular vector matrix. The base station yet further applies the first precoding matrix to at least one first symbol to generate one or more precoded symbols. The base station transmits the one or more precoded symbols.

    UE CLUSTERING IN FL MODEL UPDATE REPORTING

    公开(公告)号:US20250141758A1

    公开(公告)日:2025-05-01

    申请号:US18683231

    申请日:2021-10-12

    Abstract: This disclosure provides systems, devices, apparatus, and methods, including computer programs encoded on storage media, for FL model update reporting based on UE clustering. A UE may receive, from a base station, one or more criteria for grouping a plurality of UEs into a UE group for a combined machine learning model update. The UE may receive, from one or more UEs in the UE group, individual machine learning model updates for a machine learning model and transmit the combined machine learning model update to the base station based on the individual machine learning model updates from the one or more UEs.

    REDUCED CAPABILITY MACHINE LEARNING WITH ASSISTANCE

    公开(公告)号:US20240365136A1

    公开(公告)日:2024-10-31

    申请号:US18685740

    申请日:2021-10-18

    CPC classification number: H04W24/02 H04W8/22 H04W24/08

    Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a first user equipment (UE) may receive assistance information indicating a second UE to provide assistance relating to training or utilizing a model. The first UE may receive, from the second UE and based at least in part on the assistance information, information based at least in part on a measurement by the second UE. The first UE may train a model using the information based at least in part on the measurement. The first UE may perform a communication based at least in part on the model. Numerous other aspects are described.

    THE COMBINED ML STRUCTURE PARAMETERS CONFIGURATION

    公开(公告)号:US20240292235A1

    公开(公告)日:2024-08-29

    申请号:US18572152

    申请日:2021-08-10

    CPC classification number: H04W24/02 G06N3/0464

    Abstract: A UE may receive a first configuration for at least one first ML block and a second configuration for at least one second ML block. The at least one first ML block may be configured with at least one first parameter for a first procedure and the at least one second ML block may be configured with at least one second parameter for a second procedure. The at least one second ML block may be dedicated to a task included in a plurality of tasks associated with the at least one first ML block. The UE may activate an ML model based on an association of the at least one second ML block configured with the at least one second parameter with the at least one first ML block configured with the at least one first parameter.

    ML MODEL CATEGORY GROUPING CONFIGURATION
    69.
    发明公开

    公开(公告)号:US20240284201A1

    公开(公告)日:2024-08-22

    申请号:US18570601

    申请日:2021-08-10

    CPC classification number: H04W24/02 G06N20/00

    Abstract: This disclosure provides systems, devices, apparatus, and methods, including computer programs encoded on storage media, for ML model grouping techniques. A UE may receive a configuration for one or more ML models, which may be based on a capability of the UE. The configuration may be associated with at least one of a task or a condition of at least one procedure of the UE. The one or more ML models may be switchable at the UE based on the condition of the at least one procedure of the UE. The UE may allocate the one or more ML models to at least one of a BMG or an SMG for switching between the one or more ML models based on the at least one of the task or the condition of the at least one procedure of the UE.

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