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    EARLY IDENTIFICATION OF OPTICAL TRANSCEIVER FAILURES
    2.
    发明申请
    EARLY IDENTIFICATION OF OPTICAL TRANSCEIVER FAILURES 有权

    公开(公告)号：US20240380498A1

    公开(公告)日：2024-11-14

    申请号：US18533114

    申请日：2023-12-07

    Applicant: Selector Software, Inc.

    Inventor： Aditya Vanam ,  Javier Antich Romaguera ,  Debashis Mohanty

    IPC: H04B17/17 ,  H04B17/373

    Abstract: Systems, apparatuses, and methods are disclosed to identify sustained and significant changes in transceiver metrics for predicting transceiver failure. A percentage of change with respect to a previous value in the metric can be tracked over a configurable period of time. Anomalies can be identified if such change persists over a minimum configurable period of time. The metrics as well as transceiver metadata are correlated to perform an outlier detection. Optical transceivers of the same type (characterized by a combination of vendor, type, and model) are analyzed for outlier detection. A variability factor is taken into account for metrics, as an indicator of a likely hardware condition that may be precursor of a failure.

    Ultra-Lean Beam Optimization in 5G and 6G
    3.
    发明申请
    Ultra-Lean Beam Optimization in 5G and 6G 有权

    公开(公告)号：US20240373416A1

    公开(公告)日：2024-11-07

    申请号：US18771802

    申请日：2024-07-12

    Applicant: David E. Newman ,  R. Kemp Massengill

    Inventor： David E. Newman ,  R. Kemp Massengill

    IPC: H04W72/044 ,  H04B7/0426 ,  H04B7/06 ,  H04B17/373 ,  H04B17/382 ,  H04W24/02 ,  H04W24/06 ,  H04W24/10 ,  H04W52/24 ,  H04W72/542 ,  H04W74/0833

    Abstract: Optimization of transmission beams in 5G/6G requires feedback to the transmitting entity. Current beam alignment/optimization methods are so complex and resource-intensive, that users often delay re-alignment even when required by to changing conditions. Therefore, methods are provided for a transmitter to add two brief, single-resource-element test signals, with slightly different transmission parameters (such as direction), to the end each message. The receiver selects which test signal, or the message itself, that has the best signal, and informs the transmitter using a terse bit-level acknowledgement code. The reception beam must also be aligned, generally without feedback. The transmitter provides a series of identical signals, sequentially in time, while the receiver varies its reception beam parameters while measuring the signal level and optimizing its reception parameters. Both transmitter and receiver can thereby align their beams and optimize their beam parameters for the best communications, at negligible resource cost.

    SYSTEMS AND METHODS FOR WIRELESS SIGNAL CONFIGURATION BY A NEURAL NETWORK
    4.
    发明申请
    SYSTEMS AND METHODS FOR WIRELESS SIGNAL CONFIGURATION BY A NEURAL NETWORK 有权

    公开(公告)号：US20240372635A1

    公开(公告)日：2024-11-07

    申请号：US18662342

    申请日：2024-05-13

    Applicant: YIQUN GE ,  WUXIAN SHI ,  WEN TONG

    Inventor： YIQUN GE ,  WUXIAN SHI ,  WEN TONG

    IPC: H04B17/26 ,  H04B17/373 ,  H04L25/02 ,  H04L25/03 ,  H04W24/10

    Abstract: A wireless network can generate candidate signal configurations for physical transmissions to or from a user equipment (UE) in a radio environment. The generation of candidate signal configurations can be performed using a first neural network that is associated with the UE. These signal configurations can then be evaluated using a second neural network that is associated with the radio environment. The second neural network can be trained using measurements from previous physical transmissions in the radio environment. The trained second neural network generates a reward value that is associated with the candidate signal configurations. The first neural network is then trained using the reward values from the second neural network to produce improved candidate signal configurations. When a signal configuration that produces a suitable reward value is generated, this signal configuration can be used for the physical transmission in the radio environment.

    Methods and Apparatuses for Sensing Application Identification and Prediction
    6.
    发明公开
    Methods and Apparatuses for Sensing Application Identification and Prediction 审中-公开

    公开(公告)号：US20240305390A1

    公开(公告)日：2024-09-12

    申请号：US18272863

    申请日：2021-12-23

    Applicant: Vestel Elektronik Sanayi ve Ticaret A. S.

    Inventor： Mehmet Ali Aygül ,  Halise Türkmen ,  Hüseyin Arslan

    IPC: H04B17/327 ,  H04B17/373

    CPC classification number: H04B17/327 ,  H04B17/373

    Abstract: Some embodiments in the present disclosure relate to sensing application identification. For example, a wireless signal is obtained to be further processed. Then, presence of a sensing signal in the received signal is estimated, the sensing signal being a signal generated by a sensing application. Based on the estimation of the sensing signal, wireless reception, transmission or sensing is then performed. The sensing application detection and/or identification may be performed by a trained model such as machine learning based model. The wireless reception, transmission or sensing performed according to the result of the estimation may further include channel access, resource allocation, utilization of the detected sensing signal for own sensing purposes, or the like.

    System, device, method and program that predict communication quality
    7.
    发明授权
    System, device, method and program that predict communication quality 有权

    公开(公告)号：US12034495B2

    公开(公告)日：2024-07-09

    申请号：US17802088

    申请日：2020-02-25

    Applicant: NIPPON TELEGRAPH AND TELEPHONE CORPORATION

    Inventor： Riichi Kudo ,  Kahoko Takahashi ,  Kohei Mizuno

    IPC: H04B17/391 ,  H04B17/373 ,  H04W24/00

    CPC classification number: H04B17/3913 ,  H04B17/373 ,  H04W24/00

    Abstract: An object of the present disclosure is to enable prediction of communication quality in accordance with wireless communication under frequency conditions as combinations of frequencies and frequency bandwidths.
    The present disclosure provides a system including: an environment information generation unit configured to generate environment information of a terminal that performs wireless communication; a communication prediction model storage unit configured to store a plurality of communication prediction models obtained by learning relationships between the environment information and communication quality of wireless communication under frequency channel conditions; a communication prediction model generation unit configured to select one or more communication prediction models from among the plurality of communication prediction models and use the selected communication prediction models to generate a communication prediction model; and a communication prediction unit configured to input the environment information generated by the environment information generation unit to the communication prediction model generated by the communication prediction model generation unit and predict current or future communication quality of the terminal.

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