Method And Apparatus For Wireless Communications

    公开(公告)号:US20240372632A1

    公开(公告)日:2024-11-07

    申请号:US18753908

    申请日:2024-06-25

    Abstract: Embodiments disclosed herein may be implemented in the form of a method or corresponding apparatus for receiving or transmitting network communications carried at acoustic wavelengths via an acoustic medium. The corresponding method or apparatus may include a gate-level digital hardware module communicatively coupled to a communications module and define therein logic blocks configured to perform respective primitive processing functions, sequences of the logic blocks being capable of processing data units in accordance with any of the multiple communications protocols on a data unit-by-data unit basis without reconfiguring. According to some embodiments, the gate-level digital hardware module may be configured to process a data unit in accordance with a first communications protocol by directing the data unit through a first sequence of logic blocks, and process a subsequent data unit in accordance with a second communications protocol by directing the subsequent data unit through a second of sequence logic blocks.

    Deep learning-based polymorphic platform

    公开(公告)号:US11949544B2

    公开(公告)日:2024-04-02

    申请号:US17604476

    申请日:2020-02-24

    CPC classification number: H04L27/34 G06N3/04 G06N3/063 G06N3/08 H04L27/38

    Abstract: A polymorphic platform for wireless communication systems is provided that employs trained classification techniques to determine physical layer parameters from a transmitter at a receiver. The system includes a learning module to determine transmitted physical layer parameters of the signal using a trained classification module, such as a deep learning neural network. The trained classification module receives I/Q input samples from receiver circuitry and processes the I/Q input samples to determine transmitted physical layer parameters from the transmitter. The system includes a polymorphic processing unit that demodulates data from the signal based on the determined transmitted parameters.

    Visible-Light Software-Defined Modem

    公开(公告)号:US20220385362A1

    公开(公告)日:2022-12-01

    申请号:US17804443

    申请日:2022-05-27

    Abstract: A visible light communication (VLC) system transmits and receives visible light signals across a VLC channel that includes an air-water interface. A transmitter may be configured generates and transmits a visible light signal across the VLC channel to a remote device, and a signal modulator controls the transmitter to generate the visible light signal from a digital transmission signal in accordance with a modulation setting. A receiver processes a remote visible light signal received across the VLC channel from the remote device. A signal demodulator converts the remote visible light signal to a received digital signal.

    Operating system for software-defined cellular networks

    公开(公告)号:US12192792B2

    公开(公告)日:2025-01-07

    申请号:US17605266

    申请日:2020-05-01

    Abstract: A self-optimizing operating system for next-generation cellular networks is provided. The system provides telecommunications operators with an efficient and flexible network control platform that hides low-level network details through a virtual network abstraction and allows them to define centralized and high-level control objectives with no need for in-depth and detailed knowledge of cross-layer optimization theory or the underlying wireless protocol stack implementation.

    Visible-light software-defined modem

    公开(公告)号:US12176947B2

    公开(公告)日:2024-12-24

    申请号:US17804443

    申请日:2022-05-27

    Abstract: A visible light communication (VLC) system transmits and receives visible light signals across a VLC channel that includes an air-water interface. A transmitter may be configured generates and transmits a visible light signal across the VLC channel to a remote device, and a signal modulator controls the transmitter to generate the visible light signal from a digital transmission signal in accordance with a modulation setting. A receiver processes a remote visible light signal received across the VLC channel from the remote device. A signal demodulator converts the remote visible light signal to a received digital signal.

    Method and apparatus for wireless communications

    公开(公告)号:US12095513B2

    公开(公告)日:2024-09-17

    申请号:US17804905

    申请日:2022-06-01

    CPC classification number: H04B11/00 H04B13/02 H04B14/04

    Abstract: Embodiments disclosed herein may be implemented in the form of a method or corresponding apparatus for receiving or transmitting network communications carried at acoustic wavelengths via an acoustic medium. The corresponding method or apparatus may include a gate-level digital hardware module communicatively coupled to a communications module and define therein logic blocks configured to perform respective primitive processing functions, sequences of the logic blocks being capable of processing data units in accordance with any of the multiple communications protocols on a data unit-by-data unit basis without reconfiguring. According to some embodiments, the gate-level digital hardware module may be configured to process a data unit in accordance with a first communications protocol by directing the data unit through a first sequence of logic blocks, and process a subsequent data unit in accordance with a second communications protocol by directing the subsequent data unit through a second of sequence logic blocks.

    Device and method for reliable classification of wireless signals

    公开(公告)号:US11611457B2

    公开(公告)日:2023-03-21

    申请号:US17650686

    申请日:2022-02-11

    Abstract: A machine learning (ML) agent operates at a transmitter to optimize signals transmitted across a communications channel. A physical signal modifier modifies a physical layer signal prior to transmission as a function of a set of signal modification parameters to produce a modified physical layer signal. The ML agent parses a feedback signal from a receiver across the communications channel, and determines a present tuning status as a function of the signal modification parameters and the feedback signal. The ML agent generates subsequent signal modification parameters based on the present tuning status and a set of stored tuning statuses, thereby updating the physical signal modifier to generate a subsequent modified physical layer signal to be transmitted across the communications channel.

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