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    Method for realizing splitting-rate multi-access of mobile cell-free massive MIMO system
    1.
    发明授权
    Method for realizing splitting-rate multi-access of mobile cell-free massive MIMO system 有权

    公开(公告)号：US12191948B1

    公开(公告)日：2025-01-07

    申请号：US18446504

    申请日：2023-08-09

    Applicant: BEIJING JIAOTONG UNIVERSITY

    Inventor： Jiakang Zheng ,  Jiayi Zhang ,  Bo Ai

    IPC: H04L5/12 ,  H04B7/0456 ,  H04B7/06

    Abstract: A method for realizing rate-splitting multi-access in a mobile cell-free massive MIMO system includes the following steps: splitting, by an access point, the data of each user into two parts with common message and private message, coding all the common message into one super message common message stream, coding each piece of the private message into a private message stream; coding, by the access point, the private message stream using an arbitrary linear pre-coding method, coding the super common message stream using an optimal pre-coding method, and sending the final coded super common message streams to user terminals after superimposing the final coded super common message stream on the private message streams; first decoding, by the user terminals, the super common message stream, removing the super common message stream using successive interference cancellation technology, and then decoding the private message streams.

    METHOD AND SYSTEM FOR VIRTUALLY COUPLED TRAIN SET CONTROL
    2.
    发明申请
    METHOD AND SYSTEM FOR VIRTUALLY COUPLED TRAIN SET CONTROL 有权

    公开(公告)号：US20240400119A1

    公开(公告)日：2024-12-05

    申请号：US18392173

    申请日：2023-12-21

    Applicant: BEIJING JIAOTONG UNIVERSITY

    Inventor： Hongjie LIU ,  Xiaolin LUO ,  Tao TANG ,  Ming CHAI ,  Shuai SU ,  Jidong LV

    IPC: B61L27/16 ,  B61L25/02

    Abstract: A method and system for virtually coupled train set (VCTS) control is provided. The method includes following steps: determining whether to execute a backup control strategy based on an actual state for a current cycle of each train unit and a target state sequence for a first preset number of cycles before the current cycle to obtain a first determination result; if the first determination result is yes, executing the backup control strategy to control each train unit; if the first determination result is no, calculating the target state sequence for the current cycle of each train unit according to a position or calculating the target state sequence for the current cycle of each train unit by using a synchronization relationship; and controlling each train unit according to the target state sequence for the current cycle of each train unit, respectively.

    Deep learning-based stop control method and system for high-speed train
    4.
    发明授权
    Deep learning-based stop control method and system for high-speed train 有权

    公开(公告)号：US12060091B2

    公开(公告)日：2024-08-13

    申请号：US17477964

    申请日：2021-09-17

    Applicant: BEIJING JIAOTONG UNIVERSITY

    Inventor： Jiateng Yin ,  Chenhe Ning ,  Shuai Su ,  Kaicheng Li ,  Tao Tang

    IPC: G06N20/10 ,  B61H11/02 ,  G06F18/214 ,  G06N3/08

    CPC classification number: B61H11/02 ,  G06F18/214 ,  G06N3/08

    Abstract: The present disclosure provides a deep learning-based stop control method and system for a high-speed train, and relates to the technical field of rail transit management and control. The method includes: obtaining a training data set; establishing a convolutional neural network (CNN); training and optimizing the CNN by using the training data set, to obtain an optimized CNN; obtaining actual running data of a to-be-controlled train; inputting the actual running data into the optimized CNN to obtain a stop position of the to-be-controlled train; determining whether the stop position of the to-be-controlled train is 0; and if the stop position of the to-be-controlled train is 0, outputting a breaking command; or if the stop position of the to-be-controlled train is not 0, performing the step of “obtaining actual running data of a to-be-controlled train”. The present disclosure can ensure accurate stop of a high-speed train without high costs.

    METHOD AND APPARATUS FOR DETERMINING ANTENNA ARRAY AND ELECTRONIC DEVICE
    6.
    发明公开
    METHOD AND APPARATUS FOR DETERMINING ANTENNA ARRAY AND ELECTRONIC DEVICE 审中-公开

    公开(公告)号：US20240045999A1

    公开(公告)日：2024-02-08

    申请号：US18337611

    申请日：2023-06-20

    Applicant: BEIJING JIAOTONG UNIVERSITY

    Inventor： Yujian Li ,  Fanqi Sun ,  Junhong Wang ,  Xiaojuan Wang

    IPC: G06F30/10

    CPC classification number: G06F30/10

    Abstract: The present disclosure provides a method and apparatus for determining an antenna array and an electronic device; the method includes: determining a first target reflection coefficient of each radiation element forming the antenna array based on a pre-acquired antenna array design index; determining a model structure of each radiation element based on the first target reflection coefficient; extracting an amplitude and a phase of a first reflection coefficient from a simulation result of the model structure of a specified radiation element; determining a second target reflection coefficient of each power divider forming the antenna array in a preset calculation mode; determining a model structure of each power divider based on the second target reflection coefficient; and determining the antenna array based on each radiation element with the determined structure and each power divider with the determined structure.

    POWER DISTRIBUTION AND VEHICLE SELF-LEARNING-BASED TRUCK OVERLOAD IDENTIFICATION METHOD
    10.
    发明申请
    POWER DISTRIBUTION AND VEHICLE SELF-LEARNING-BASED TRUCK OVERLOAD IDENTIFICATION METHOD 有权

    公开(公告)号：US20220415166A1

    公开(公告)日：2022-12-29

    申请号：US17774651

    申请日：2020-06-22

    Applicant: BEIJING JIAOTONG UNIVERSITY

    Inventor： Guohua SONG ,  Xin WANG

    IPC: G08G1/01 ,  G08G1/017

    Abstract: A power distribution and vehicle self-learning-based truck overload identification method, comprising: acquiring load identification data of a vehicle; calculating AOP values and STP values according to the load identification data of the vehicle; according to a plurality of sets of AOP values and STP values in a standard full-load state, constructing a power distribution curve of the vehicle in the standard full-load state; and comparing an AOP value during an actual operation process to a corresponding AOP value in the power distribution curve in the standard full-load state, and according to a comparison result, identifying whether the vehicle is overloaded. The method can show the operating states of overloaded vehicles in the road network in real time to provide convenience for oversize and overloading management. Loads of vehicles operating in the road network can be monitored in real time without additional equipment, thus improving the scope of overload identification.

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