NOISY POSITIONING DATA PROCESSING

    公开(公告)号:US20250048318A1

    公开(公告)日:2025-02-06

    申请号:US18788620

    申请日:2024-07-30

    Abstract: Example embodiments of the present disclosure relate to methods, devices, apparatuses and computer readable storage medium of noisy positioning data processing. In a method, a first apparatus obtains measurement data and first positioning data associated with the measurement data. The first apparatus generates second positioning data from the first positioning data based on network assistance information. The first apparatus transmits at least the measurement data and the second positioning data. In this way, an accuracy of the positioning data can be improved.

    REFERENCE SIGNAL CONFIGURATION
    3.
    发明申请

    公开(公告)号:US20250105965A1

    公开(公告)日:2025-03-27

    申请号:US18897653

    申请日:2024-09-26

    Abstract: According to an example aspect of the present invention, there is provided a method comprising receiving or transmitting at least one reference signal, wherein the at least one reference signal is transmitted according to a reference signal configuration, and wherein the reference signal configuration indicates a power-muting for at least one inner resource block of a plurality of resource blocks assigned in the frequency-domain to the at least one reference signal, and a power-boosting for at least two edge resource blocks of the plurality of resource blocks.

    MODEL MONITORING FOR POSITIONING
    4.
    发明申请

    公开(公告)号:US20250056477A1

    公开(公告)日:2025-02-13

    申请号:US18792760

    申请日:2024-08-02

    Abstract: Example embodiments of the present disclosure relate to methods, devices, apparatuses and computer readable storage medium for a model monitoring for positioning, especially for assisted Artificial Intelligence/Machine Learning (AI/ML) positioning without measured ground truth (GT). The method comprises: determining, based on three or more transmission reception points, TRPs, at least one reference location associated with a positioning performance monitoring of a second apparatus; generating assistance data for monitoring a positioning performance at the second apparatus at least comprising at least one of: respective positioning measurement data of at least one positioning measurement type in the at least one reference location; respective monitoring metric associated with the at least one positioning measurement type in the at least one reference location; or the at least one reference location; and transmitting the assistance data to a second apparatus.

    AI/ML MODEL TEST MECHANISM
    5.
    发明申请

    公开(公告)号:US20250070902A1

    公开(公告)日:2025-02-27

    申请号:US18798373

    申请日:2024-08-08

    Abstract: Example embodiments of the present disclosure are related to artificial intelligence/machine learning (AI/ML) model test. A first apparatus transmits test configuration information to a second apparatus, the test configuration information indicating a test mode of an AI/ML model with respect to at least one transmission and reception unit (TRP), the at least one TRP being arranged within an environment based on a test plan for at least one test channel indicator. The first apparatus receives, from the second apparatus, at least one predicted channel indicator for the at least one TRP, the at least one predicted channel indicator being derived by the second apparatus using the AI/ML model. The first apparatus determines a test result for the AI/ML model based on a comparison between the at least one predicted channel indicator and the at least one test channel indicator, the test result indicating whether the AI/ML model is validated.

    METHOD AND APPARATUS FOR POSITIONING USING SIDELINK INFORMATION

    公开(公告)号:US20230413219A1

    公开(公告)日:2023-12-21

    申请号:US18333239

    申请日:2023-06-12

    CPC classification number: H04W64/00 H04W92/18

    Abstract: Disclosed is a method comprising determining one or more radio access nodes based on available location information of a target user device and at least one neighboring user device of the target user device; transmitting a sidelink information request to the one or more radio access nodes, wherein the sidelink information request indicates requesting sidelink information of the target user device and the at least one neighboring user device of the target user device; receiving the sidelink information from the one or more radio access nodes; and transmitting, to at least one of the one or more radio access nodes and/or the at least one neighboring user device, at least a part of a locality database and/or a sidelink positioning configuration for positioning the target user device, wherein the locality database and/or the sidelink positioning configuration are based at least on the sidelink information.

    METHOD, APPARATUS, AND COMPUTER PROGRAM PRODUCT FOR COLLECTING DATA FROM USER EQUIPMENT DEVICES

    公开(公告)号:US20250056289A1

    公开(公告)日:2025-02-13

    申请号:US18790220

    申请日:2024-07-31

    Abstract: Method, apparatuses, and computer program products provide means for establishing a mechanism through which a network can configure user equipment to determine how to process an indication of region of the user equipment location when establishing a network connection. An example method includes: receiving, from a visited network, a first indication of a region of an apparatus location, where the apparatus includes a User Equipment (UE); and determining, based on a second indication in the apparatus, whether the apparatus shall ignore the first indication for network selection, where the second indication is received from a home network of the apparatus via a container transparent to the visited network. The region of the apparatus location may include a country of the apparatus location. The container may include a Steering of Roaming transparent container. The container may be delivered via a rejection message.

    MODEL ID-BASED AI/ML MODEL UPDATE MANAGEMENT FRAMEWORK AND ITS USE

    公开(公告)号:US20250053872A1

    公开(公告)日:2025-02-13

    申请号:US18797512

    申请日:2024-08-08

    Abstract: A network element evaluates performance of a first AI/ML model being used by a UE. The network element sends, based on the evaluation, configuration to a network entity involved in performing model retuning of the first AI/ML model to aid in the model retuning. The network element monitors and evaluates performance of a second AI/ML model that is a retuned version of the first AI/ML model. The first and second AI/ML models are from a same lineage of AI/ML models. The network element stores, in response to the evaluation of the second AI/ML model, the second AI/ML model for use by other UE(s). A UE receives the configuration, and performs operation(s) to aid in the performing retuning. The retuning creates a second AI/ML model that is a retuned version of the first AI/ML model. The UE switches from the first AI/ML model to the second AI/ML model.

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