AIML positioning receiver for flexible carrier aggregation

    公开(公告)号:US12113614B2

    公开(公告)日:2024-10-08

    申请号:US18418906

    申请日:2024-01-22

    CPC classification number: H04L1/0006 H04L1/0005 H04L25/022

    Abstract: An apparatus comprising circuitry configured to: receive a plurality of signal samples, wherein at least two of the signal samples are received on different carrier frequencies or over different durations; convert the plurality of signal samples to a common data format that stores as entries the samples, a stored entry corresponding to a sample measured with a carrier frequency, a time, and a receive antenna; generate entries of the common data format that are missing due to a sample not being measured with a carrier frequency, time, and receive antenna; wherein the entries of the common data format are ranked, wherein a higher ranking entry is considered more relevant than a relatively lower ranking entry; and generate at least one positioning measurement with a machine learning model, based on the entries of the common data format and the ranking of the entries of the common data format.

    AIML Positioning Receiver for Flexible Carrier Aggregation

    公开(公告)号:US20240275517A1

    公开(公告)日:2024-08-15

    申请号:US18418906

    申请日:2024-01-22

    CPC classification number: H04L1/0006 H04L1/0005 H04L25/022

    Abstract: An apparatus comprising circuitry configured to: receive a plurality of signal samples, wherein at least two of the signal samples are received on different carrier frequencies or over different durations; convert the plurality of signal samples to a common data format that stores as entries the samples, a stored entry corresponding to a sample measured with a carrier frequency, a time, and a receive antenna; generate entries of the common data format that are missing due to a sample not being measured with a carrier frequency, time, and receive antenna; wherein the entries of the common data format are ranked, wherein a higher ranking entry is considered more relevant than a relatively lower ranking entry; and generate at least one positioning measurement with a machine learning model, based on the entries of the common data format and the ranking of the entries of the common data format.

    Method and device
    3.
    发明授权

    公开(公告)号:US12237899B2

    公开(公告)日:2025-02-25

    申请号:US18625409

    申请日:2024-04-03

    Abstract: A device for reconstructing a channel state information (C) and a method of reconstructing a channel state information, wherein the device for reconstructing includes circuitry for reconstructing the channel state information depending (C) on a first encoding (Tm) of the channel state information (C) understandable by a first decoder, and determining the first encoding (Tm) depending on a second encoding (W1, . . . , WM) of the channel state information (C) understandable by a second decoder. A device for encoding a channel state information and a method of encoding a channel state information, wherein the device for encoding includes circuitry for determining a first encoding of the channel state information understandable by an encoder, determining a second encoding of the channel state information understandable by a decoder depending on the first encoding.

    CHANNEL STATE INFORMATION
    4.
    发明申请

    公开(公告)号:US20250047348A1

    公开(公告)日:2025-02-06

    申请号:US18780133

    申请日:2024-07-22

    Abstract: A method, apparatus and computer program is described comprising: receiving data transmitted over a wireless channel (the data encoding a first estimate of a channel state information of the wireless channel); decoding said data to generate a second estimate of the channel state information of the wireless channel; and generating a channel state information output by modifying the second estimate of the channel state information based, at least in part, on a first error indication.

    Methods for NW-Sided Model Data Collection with Low Measurement Reporting Overhead

    公开(公告)号:US20250055545A1

    公开(公告)日:2025-02-13

    申请号:US18788444

    申请日:2024-07-30

    Abstract: An apparatus configured to: transmit, to at least one UE, an indication of a measurement reporting scheme; transmit, to the at least one UE, at least one RS on at least one first beam; receive, from the at least one UE, a set of RSRP measurements of one or more of the at least one RS, according to the measurement reporting scheme; and provide the set of RSRP measurements to a machine learning model for prediction of best beams from a second set of beams. An apparatus configured to: receive, from a network node, an indication of a measurement reporting scheme; measure at least one RS on at least one first beam; generate a set of RSRP measurements of one or more of the at least one reference signal based, at least partially, on the measurement reporting scheme; and transmit, to the network node, the set of RSRP measurements.

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