Self-Interference Correction
    12.
    发明申请

    公开(公告)号:US20230119415A1

    公开(公告)日:2023-04-20

    申请号:US17914460

    申请日:2020-03-27

    Abstract: An apparatus, method and computer program is described, including: obtaining a first received signal from a transmission system; obtaining or generating a first transmission signal for transmission using the transmission system; obtaining a plurality of input data, wherein the input data include transmission system data associated with the transmission system, environmental data and timestamp data; providing the first transmission signal and the plurality of input data as inputs to a self-interference correction algorithm to generate a self-interference estimate; and subtracting the self-interference estimate from the first received signal to generate a modified received signal.

    Positioning of low power user devices

    公开(公告)号:US12262345B2

    公开(公告)日:2025-03-25

    申请号:US18926930

    申请日:2024-10-25

    Abstract: Various example embodiments relate to a solution for positioning of a low power device using sidelink peers. A target user device for a locally assisted positioning procedure may receive a trigger event to initiate positioning of the target user device, the trigger event originating from a location management function in relation to the locally assisted positioning procedure. The target user device may transmit at least one local positioning aid request to one or more anchor user devices for the locally assisted positioning procedure, the at least one local positioning aid request indicating a need for the locally assisted positioning procedure for the positioning of the target user device. Devices, methods, and computer programs are disclosed.

    ANTENNA CONFIGURATION FOR POSITIONING

    公开(公告)号:US20250071718A1

    公开(公告)日:2025-02-27

    申请号:US18719209

    申请日:2021-12-13

    Abstract: Embodiments of the present disclosure relate to devices, methods, apparatuses and computer readable storage media of antenna configuration for positioning. The method comprises identifying, at a first device, at least one second device hearable by the first device based on a monitoring of respective reference signals from the at least one second device; determining respective transmit power on at least two antenna panels allocated for the at least one second device based on a measurement associated with the respective reference signals; and transmitting, to the at least one second device, a message associated with a positioning of the first device by using the at least two antenna panels with the respective transmit power. In this way, the chance of successful PRACH for positioning reception at all identified involved gNBs may be optimized for maximized positioning accuracy at low latency and low UE power consumption.

    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.

    Interference management
    18.
    发明授权

    公开(公告)号:US11770847B2

    公开(公告)日:2023-09-26

    申请号:US17428716

    申请日:2019-02-08

    Abstract: According to an example aspect of the present invention, there is provided an apparatus for a base station including at least one processing core, configured to cause the apparatus at least to define a first cluster of time-division duplex user equipments at least partly by including in the first cluster user equipments whose uplink signals may be received using a single first directional beamforming beam, determine a ratio of received signal strengths of a pair of user equipments in the first cluster, the pair including a first user equipment associated with the apparatus and a second user equipment associated with a neighbouring base station device, and responsive to the ratio fulfilling a predetermined condition, inform the neighbouring base station device of a scheduling plan of the first user equipment.

    Positioning a Terminal Device
    19.
    发明公开

    公开(公告)号:US20230184877A1

    公开(公告)日:2023-06-15

    申请号:US18076848

    申请日:2022-12-07

    CPC classification number: G01S5/0268 H04L5/0048 G01S5/0244

    Abstract: A method including receiving a first reference signal, wherein the first reference signal is having a first bandwidth in a first frequency range, determining an angle of arrival of a line of sight component of the first reference signal, receiving a second reference signal, wherein the second reference signal is having a second bandwidth in a second frequency range, wherein the second bandwidth is greater than the first bandwidth, determining a time of arrival of a line of sight component of the second reference signal, based on the first reference signal and on the second reference signal, determining a link quality measure, and based on the link quality measure, the time of arrival and the angle of arrival, performing a position estimation to obtain an estimated position, wherein the first reference signal and the second reference signal are received from a same transmit-receive point.

    Machine learning based digital pre-distortion for power amplifiers

    公开(公告)号:US11431300B2

    公开(公告)日:2022-08-30

    申请号:US17331145

    申请日:2021-05-26

    Abstract: Example embodiments relate to machine learning based digital pre-distortion for power amplifiers. A device may amplify a signal with a power amplifier and transmit the signal. The signal may be received by an internal feedback receiver of the device. The device may further comprise a first machine learning model configured to emulate an external feedback receiver and to generate an emulated feedback signal based on the internal feedback signal. The device may further comprise a second machine learning model configured to determine digital pre-distortion parameters for the power amplifier based on the emulated feedback signal. Apparatuses, methods, and computer programs are disclosed.

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