USER EQUIPMENT POSITIONING METHOD, APPARATUS, BASE STATION AND STORAGE MEDIUM

    公开(公告)号:US20250008467A1

    公开(公告)日:2025-01-02

    申请号:US18481078

    申请日:2023-10-04

    Abstract: The embodiments of the present invention provide a user equipment positioning method, apparatus, a base station and a storage medium, and relates to the technical field of wireless communication. The method is applied to a base station and comprises: receiving a pilot signal sent by a target UE; calculating a CSI estimation value of a channel between the base station and the target UE according to the received pilot signal; calculating transmission directions of the pilot signal along different signal paths according to the CSI estimation value to obtain AoA estimation values; performing directional beamforming based on the AoA estimation values to generate a spatially filtered CSI estimation value; performing Kalman filtering on the spatially filtered CSI estimation value to generate an enhanced CSI estimation value; calculating transmission distances of the pilot signal transmitted along different signal path according to the enhanced CSI estimation value to obtain distance estimation values; determining a position of the target UE according to a minimum distance estimation value among the distance estimation values and an AoA estimation value corresponding to the minimum distance estimation value. The solutions provided by the embodiments of the present invention can improve the accuracy of UE positioning.

    SEMI-FEDERATED LEARNING METHOD BASED ON NEXT-GENERATION MULTIPLE ACCESS TECHNOLOGY

    公开(公告)号:US20240232719A1

    公开(公告)日:2024-07-11

    申请号:US18515317

    申请日:2023-11-21

    CPC classification number: G06N20/00

    Abstract: A semi-federated learning (semiFL) method based on a next-generation multiple access (NGMA) technology is provided. Centralized learning (CL) and FL are integrated such that devices with weak computing capabilities can also participate in training of a global model. A simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) is deployed to dynamically change a channel environment such that a system can meet different task requirements of heterogeneous users. Communication-centric CL users and computing-centric FL users can transmit data in parallel on a same time-frequency resource. This avoids a waste of data resources, enriches data obtaining of a base station (BS), and improves accuracy of the global model. The semiFL method also integrates a strategy for jointly optimizing user power allocation and a configuration of the STAR-RIS to reduce total uplink transmit power consumption of the system and prolong a life cycle of an intelligent Internet of Things (IoT) network.

    RADAR AND COMMUNICATION INTEGRATED COOPERATIVE DETECTION METHOD AND APPARATUS BASED ON BEAM POWER DISTRIBUTION

    公开(公告)号:US20220057483A1

    公开(公告)日:2022-02-24

    申请号:US17420283

    申请日:2020-06-15

    Abstract: Provided are a radar communication integrated cooperative detection method and apparatus based on beam power distribution. The method comprises: determining a farthest detection distance and a detection volume of a single radar in a radar communication integrated system during transmitting of a detection beam when the radar has a preset transmit power; determining a communication success probability of each pair of radars during transmitting communication beams; determining a detection area volume of each pair of radars under different power distribution coefficients based on the farthest detection distance, the detection volume, a different power distribution coefficient of the single radar, and the communication success probability of each pair of radars; determining a power distribution coefficient corresponding to a largest detection area volume from different detection area volumes as a current power distribution coefficient; and determining total detection volume of the radar communication integrated system based on the detection area volume of each pair of radars and the current power distribution coefficient.

    GPS Interference Source Positioning Method, Apparatus, Electronic Device, and Readable Storage Media

    公开(公告)号:US20240094406A1

    公开(公告)日:2024-03-21

    申请号:US18209201

    申请日:2023-06-13

    CPC classification number: G01S19/21 G01S19/42

    Abstract: The present invention provides a GPS interference source positioning method, apparatus, electronic device, and readable storage medium, which relates to the technical field of wireless communications. The method includes: acquiring a first signal strength of a GPS interference signal received by a flight device at a first moment, and acquiring a second signal strength of a GPS interference signal received by the flight device at a second moment, wherein the first moment refers to a starting moment when a position of the flight device cannot be acquired, and the second moment refers to a starting moment when the position of the flight device can be re-acquired, the GPS interference signal is sent by a GPS interference source located at a ground point; acquiring a confidence of each ground point in a set of ground points as a positioning point of the GPS interference source according to the first signal strength and the second signal strength; acquiring a predicted positioning point of the GPS interference source from the set of ground points according to the confidence. The solution of the present invention can improve the positioning accuracy of the GPS interference source.

    WIRELESS FEDERATED LEARNING FRAMEWORK AND RESOURCE OPTIMIZATION METHOD

    公开(公告)号:US20240297700A1

    公开(公告)日:2024-09-05

    申请号:US18387068

    申请日:2023-11-06

    CPC classification number: H04B7/0626 H04B7/0639

    Abstract: A wireless federated learning (FL) framework and a resource optimization method are provided to resolve a problem that FL is not suitable for many hardware-constrained Internet of Things (IoT) devices with a small amount of computing resources. In the framework, users with sufficient computing resources upload locally trained model parameters to a base station, and users with limited computing resources only need to send training data to the base station. The base station performs data training and model aggregation to obtain a global model. In this way, the users with limited computing resources and the users with sufficient computing resources cooperatively train the global model. To improve a data transmission rate and reduce an aggregation error of FL, a non-convex optimization problem is constructed to jointly design user transmit power and a reception strategy of the base station, and solves the problem through a successive convex approximation (SCA) method.

    BROADBAND MILLIMETER WAVE BEAM TRACKING METHOD BASED ON VEHICLE MOTION TRAJECTORY COGNITION

    公开(公告)号:US20240039590A1

    公开(公告)日:2024-02-01

    申请号:US18026433

    申请日:2021-12-27

    CPC classification number: H04B7/0617 H04B7/086

    Abstract: A broadband millimeter wave beam tracking method based on vehicle movement trajectory recognition, which relates to the field of wireless communication. First, a rough estimate of the beam angle is obtained according to the position and attitude of two vehicles in a communication scenario at an initial moment, and a state of the vehicle is judged according to the sudden change rate of the transmitting beam angle starting from a next moment; if it is in the sudden change mode, the observation value ŷk of the received signal is calculated; if it is in the smooth change mode, the observation value I is calculated; the observation values in different modes are input into an improved particle filter algorithm for fine beam estimation, to obtain optimal values xk and uk; and the beam optimal values at the current moment are used to re-estimate a pair of the forming vector of the transmitting beam and the forming vector of the receiving beam to adjust the vehicle and the pilot signal at the next moment is transmitted; by continuously adjusting the beam forming vector at each moment, a beam tracking within an error range is obtained. The present application improves the accuracy and reliability of beam tracking in case of sudden angle change.

    COOPERATIVE PRECODING METHOD AND APPARATUS
    10.
    发明公开

    公开(公告)号:US20230268960A1

    公开(公告)日:2023-08-24

    申请号:US18105459

    申请日:2023-02-03

    CPC classification number: H04B7/024 H04B7/0456 G01S7/0234

    Abstract: A cooperative precoding method and device. The method includes: obtaining a first sensing and communication signal sent by a first node based on a problem of interference between multi-user data; obtaining a second sensing and communication signal sent by a second node based on a problem of communication signal interference between the first node and the second node and the first sensing and communication signal; updating the first sensing and communication signal based on a problem of multi-path radar echo interference of the first node, the first sensing and communication signal, and the second sensing and communication signal; updating the second sensing and communication signal based on a problem of radar echo interference between the second node and the first node, the updated first sensing and communication signal, and the second sensing and communication signal; returning to the step of obtaining a first sensing and communication signal when the signal-to-noise ratio of a signal received by a user and the signal-to-noise ratio of a radar echo signal received by the first node do not meet a preset condition. The solutions enhance sensing performance of nodes while at the same time improve the communication performance of a target user.

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