END-TO-END LEARNING IN COMMUNICATION SYSTEMS

    公开(公告)号:US20220006477A1

    公开(公告)日:2022-01-06

    申请号:US17291477

    申请日:2018-11-23

    Abstract: An apparatus, method and computer program performs initializing parameters of a transmission system. The transmission system comprises a transmitter, a first channel, a relay, a second channel and a receiver. The transmitter includes a transmitter algorithm having trainable weights, the relay includes a relay algorithm having trainable weights and the receiver includes a receiver algorithm having trainable weights. A first training sequence of messages is received, and the first training sequence of messages is sent from the transmitter to the relay using the first channel and is sent from the relay to the receiver using the second channel. A loss function is obtained or generated, and trainable parameters of the transmission system are updated based on the loss function. The trainable parameters include some of the trainable weights of the transmitter, some of the trainable weights of the relay, and some of the trainable weights of the receiver.

    TRANSMITTER
    3.
    发明申请

    公开(公告)号:US20210218607A1

    公开(公告)日:2021-07-15

    申请号:US17149268

    申请日:2021-01-14

    Abstract: To support a wide range of code rates in probabilistic shaping based modulation schemes solutions, a constellation which is at least based on a trained model is used in the modulation. Depending on an implementation the trained model may be a constellation comprising a plurality of sub-constellations with trained parameters as constellation points, or the trained model may be for generating a constellation and corresponding constellation points.

    TRANSMITTING OF INFORMATION IN WIRELESS COMMUNICATION

    公开(公告)号:US20220303163A1

    公开(公告)日:2022-09-22

    申请号:US17700710

    申请日:2022-03-22

    Abstract: A method comprising receiving a modulated radio signal transmitting coded information bits, performing demodulating on the modulated radio signal, wherein demodulating comprises performing orthogonal time frequency space demodulation, performing equalization on the demodulated radio signal to obtain equalized symbols, obtaining log-likelihood ratios for the coded information bits from the equalized symbols using a trained machine learning model, and reconstructing the coded information bits.

    CONTROLLING RADIATING ELEMENTS
    5.
    发明申请

    公开(公告)号:US20210328341A1

    公开(公告)日:2021-10-21

    申请号:US17252074

    申请日:2018-07-13

    Abstract: An apparatus, method and computer program product is disclosed. The apparatus may comprise means for receiving a performance metric for an antenna array comprised of a plurality of radiating elements, the performance metric being based on performance data associated with the antenna array, the antenna array having a radiating configuration represented by configuration parameters. The apparatus may also comprise means for updating the configuration parameters dependent on the received performance metric by means of estimating new configuration parameters for moving the performance metric towards a target value. The apparatus may also comprise means for re-configuring the radiating configuration of the antenna array based on the updated configuration parameters such that the physical geometry of the antenna array is changed.

    MACHINE-LEARNING-BASED DETECTION AND RECONSTRUCTION FROM LOW-RESOLUTION SAMPLES

    公开(公告)号:US20210211163A1

    公开(公告)日:2021-07-08

    申请号:US17135748

    申请日:2020-12-28

    Abstract: According to an aspect, there is provided an apparatus comprising a combiner for combining a received analog signal with an analog dithering signal to produce a combined analog signal, a one-bit analog-to-digital converter for converting the combined analog signal to a combined digital signal, means for performing joint downsampling and feature extraction for the combined digital signal, means for implementing a trained machine-learning algorithm for calculating one or more input parameters for waveform generation at least based on one or more features extracted from the combined digital signal and a parametric waveform generator for generating the analog dithering signal based on the one or more input parameters.

    Method and Apparatus for Providing timing Synchronization

    公开(公告)号:US20200252892A1

    公开(公告)日:2020-08-06

    申请号:US16778116

    申请日:2020-01-31

    Abstract: A method, apparatus, receiver and system provide timing synchronization during data transmission over a channel. In the context of a method, the method receives, for individual ones of a plurality of sequences of samples generated by a channel in response to transmission of corresponding frames that are comprised of a plurality of symbols including a preamble and one or more data symbols: (i) a probability vector and (ii) an indication of the sample of the respective sequence that corresponds to the particular symbol of the corresponding frame. The method determines one or more updated parameters of a frame detector of a receiver that receives the sequence of samples from the channel. The method determines one or more updated parameters of a preamble generator of a transmitter that provides the preamble for transmission over the channel.

    Transmitter, Receiver and Method for Transmit and Receive Filtering in a Communication System

    公开(公告)号:US20240314003A1

    公开(公告)日:2024-09-19

    申请号:US18573567

    申请日:2021-06-28

    CPC classification number: H04L25/03834 H04L25/03165

    Abstract: In a communication system, a transmitter includes a transmit filter for pulse shaping to produce a transmit signal subject to a signal constraint for transmission over a channel to a receiver, and the receiver includes a receive filter to process a received signal. The transmit and receive filters are implemented through a filtering function with trainable parameters, the parameters obtained by joint optimization of the transmit and receive filters to maximize the transmission rate for the channel model and the signal constraint. The learning method for obtaining the parameters includes: simulating the channel response depending on the transmit and receive filters, simulating a channel noise correlation depending on the receive filter, computing channel outputs for random samples by applying the simulated channel response and a random noise correlated to reflect the simulated channel noise correlation, learning the parameters by minimizing a loss function subject to at least one signal constraint.

    TRANSMITTER
    9.
    发明公开
    TRANSMITTER 审中-公开

    公开(公告)号:US20240146362A1

    公开(公告)日:2024-05-02

    申请号:US17964679

    申请日:2022-10-12

    CPC classification number: H04B7/0456 H04B7/0615

    Abstract: An apparatus, method and computer program is described comprising: transmitting signals from a transmitter of a multiple-input single-output transmission system to a receiver of the transmission system, wherein the transmitter communicates with the receiver over a plurality of channels of the transmission system, wherein the transmitter includes a transmitter algorithm having at least some trainable weights, wherein said transmitter algorithm converts a sequence of coded bits into time domain baseband symbols for transmission over said channels; updating weights of said transmitter algorithm based on a loss function, said loss function having a first loss term, a second loss term and a variable defining a weighting of those loss terms, wherein the first parameter relates to an information rate of communications from the transmitter to the receiver; and repeating the transmitting and updating until a first condition is reached.

    APPARATUSES AND METHODS FOR PROVIDING FEEDBACK

    公开(公告)号:US20220393795A1

    公开(公告)日:2022-12-08

    申请号:US17771261

    申请日:2019-10-31

    Abstract: A retransmission method in a communication system, wherein the communication system comprises at least one transmitter and at least one receiver with a communication channel between the transmitter and the receiver, the method comprising: utilising in the transmitter a transmitter algorithm with trainable weights and in the receiver a receiver algorithm with trainable weights; generating (302) by the transmitter symbols to be transmitted based on a message to be sent and feedback received from the receiver and transmitting the symbols; generating (304) by the receiver a predicted message based on the received symbols, evaluating (306) the predicted message based on a criterion and providing (312), utilising an algorithm with trainable weights, feedback symbols as a response to the transmitter if the evaluation indicates the predicted message is not acceptable.

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