TRANSMISSION SPATIAL INFORMATION FOR CHANNEL ESTIMATION

    公开(公告)号:US20250088232A1

    公开(公告)日:2025-03-13

    申请号:US18728394

    申请日:2022-04-02

    Abstract: Certain aspects of the present disclosure provide techniques for channel estimation based on transmission spatial information. An example method of wireless communication by a user equipment includes receiving an indication of transmission spatial information associated with a network entity; receiving a reference signal from the network entity based on the transmission spatial information; and transmitting, to the network entity, channel state information (CSI) based on the received reference signal and the transmission spatial information.

    TECHNIQUES FOR CHANNEL STATE INFORMATION AND CHANNEL COMPRESSION SWITCHING

    公开(公告)号:US20240313838A1

    公开(公告)日:2024-09-19

    申请号:US18546926

    申请日:2021-04-30

    CPC classification number: H04B7/0626 H04B7/0658

    Abstract: Methods, systems, and devices for wireless communications are described. A wireless communications system may support compression of channel information (e.g., channel feedback) in accordance with multiple compression schemes, from which a transmitting device may select for a channel reporting transmission. For example, a user equipment (UE) may be configured with multiple channel state information compression schemes, corresponding to different encoders or decoders, which may involve various machine learning or neural network techniques. The UE may select or otherwise determine which compression scheme to use for channel reporting in various scenarios, including a selection based on whether a compression scheme maintains relatively accurate reporting, or whether a more power-intensive or processor-intensive compression scheme is supported by an operating mode of the UE, among other selection criteria. The UE may indicate which compression scheme was selected by a transmitted indication included with or otherwise accompanying a channel reporting transmission.

    TECHNIQUES FOR REPORTING CHANNEL STATE INFORMATION

    公开(公告)号:US20240049015A1

    公开(公告)日:2024-02-08

    申请号:US18257009

    申请日:2021-03-05

    CPC classification number: H04W24/08 H04W24/10 H04L5/0057

    Abstract: Methods, systems, and devices for wireless communications are described. A user equipment (UE) may receive a first indication of a first number of antenna ports for which the UE is to report channel state information (CSI), and a second indication of a second number of antenna ports on which the UE is to measure CSI reference signals (CSI-RSs). The second number may be less than the first number. The UE may receive an indication of one or more antenna port parameters, where each may be associated with one of the first number of antenna ports or the second number of antenna ports. The UE may determine the CSI for the first number of antenna ports using the one or more antenna port parameters and measurements made by the UE on the second number of ports, and may transmit a report including the CSI for the first number of ports.

    COMPUTING POWER AWARE RANDOM ACCESS PROCEDURE

    公开(公告)号:US20250071824A1

    公开(公告)日:2025-02-27

    申请号:US18728423

    申请日:2022-03-18

    Abstract: A method of wireless communication, by a user equipment (UE), includes receiving, from a network device, a trigger command initiating a hash-based random access procedure. The trigger command includes a target hash value and one or more rules for selecting preambles. The method also includes selecting, based on the trigger command, one or more random access channel (RACH) occasions (RO) for potential preamble transmission. The method further includes calculating at least one hash value in response to the trigger command based on computational resources of the UE. The method also includes transmitting a preamble on the at least one selected RO based on the at least one hash value and the target hash value.

    INITIAL ACCESS AND DEVICE IDENTIFICATION PROTOCOL DESIGN FOR PASSIVE INTERNET OF THINGS

    公开(公告)号:US20250063599A1

    公开(公告)日:2025-02-20

    申请号:US18721807

    申请日:2022-03-02

    Abstract: Methods, systems, and devices for wireless communications are described. A network entity (e.g., a base station or reader) may transmit an initial access trigger message (e.g., modulating a continuous wave transmission using amplitude shift keying (ASK)), and the trigger message may include an indication of a type of passive user equipment (PUE) or a PUE use case (e.g., high priority/latency-critical PUEs or low priority/latency non-critical PUEs). A receiving PUE may harvest energy from the initial access trigger message for transmitting an initial access response message including an identifier for the receiving PUE. The receiving PUE may transmit the initial access response message (e.g., on one or more initial access resources) using the harvested energy if the trigger message indicates the PUE's type of PUE or PUE use case. In some examples, the receiving PUE may ignore triggers for different types of PUEs or PUE use cases.

    PROVIDING CHANNEL STATE INFORMATION (CSI) FEEDBACK

    公开(公告)号:US20240275440A1

    公开(公告)日:2024-08-15

    申请号:US18564858

    申请日:2021-09-03

    CPC classification number: H04B7/0456 H04L5/0051

    Abstract: Aspects of the present disclosure provide techniques for reducing channel state information (CSI) feedback overhead sent from one or more user equipments (UEs) to a network entity, such as a base station (BS) or gNodeB (gNB), while ensuring correct mapping of the CSI feedback at the network entity. In some cases, the overhead reduction may be achieved by converting the CSI feedback to size-reduced and further quantized representative coefficients (e.g., for multiple UEs). The quantized coefficients allow the network entity to recover the CSI feedback by de-quantizing and correctly mapping the quantized coefficients to recover the CSI feedback.

    SOUNDING AND TRANSMISSION PRECODING MATRIX INDICATION DETERMINATION USING MACHINE LEARNING MODELS

    公开(公告)号:US20240163136A1

    公开(公告)日:2024-05-16

    申请号:US18548859

    申请日:2021-05-13

    CPC classification number: H04L25/0226 H04B7/0639 H04L25/0254

    Abstract: Certain aspects of the present disclosure provide techniques for sounding and precoding uplink transmissions using one or more machine learning models. An example method generally includes generating a sounding reference signal (SRS) using an SRS deep neural network (DNN); transmitting, to a network entity, the generated SRS in one or more resource elements (REs); receiving, from the network entity, information identifying a precoding matrix to use for uplink transmissions on a shared channel; precoding uplink transmissions based on the identified precoding matrix; and transmitting, to the network entity, the precoded uplink transmissions on the shared channel.

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