Transmitter Algorithm
    11.
    发明申请

    公开(公告)号:US20220263596A1

    公开(公告)日:2022-08-18

    申请号:US17621747

    申请日:2019-06-27

    Abstract: An apparatus, method and computer program is described including circuitry configured for using a transmitter algorithm to convert one or more inputs at a transmitter of a transmission system into one or more data symbols, wherein: the transmission system includes the transmitter implementing said transmitter algorithm, a channel and a receiver including a receiver algorithm; the transmitter algorithm includes trainable parameters for converting one or more received data symbols into one or more outputs; and the transmitter algorithm is stochastic.

    RATE ADAPTATION
    12.
    发明申请

    公开(公告)号:US20220094462A1

    公开(公告)日:2022-03-24

    申请号:US17482610

    申请日:2021-09-23

    Abstract: This specification describes an apparatus relating to rate adaptation. The apparatus may comprise a processor and a memory including instructions, the instructions, when executed by the processor, cause the apparatus to provide first data representing an estimate of a communications link based on a signal received over said communications link from a transmitter. The apparatus may determine an estimated achievable data rate over said communications link for each of a plurality of link configurations which have respective combinations of modulation scheme and pilot symbol pattern which correspond to one or more transmitter link configurations, the estimated achievable data rate for a particular link configuration being determined based on the first data, and the modulation scheme and the pilot pattern of the particular reference link configuration. The apparatus may select a transmitter link configuration based on the estimated achievable data rates.

    LEARNING IN COMMUNICATION SYSTEMS
    13.
    发明申请

    公开(公告)号:US20210099327A1

    公开(公告)日:2021-04-01

    申请号:US17044553

    申请日:2018-06-29

    Abstract: A method, apparatus and computer program are described includes obtaining or generating a transmitter-training sequence of messages for a first transmitter of a first module of a transmission system, wherein the transmission system includes the first module having the first transmitter and a first receiver, a second module having a second transmitter and a second receiver, and a channel, wherein the first transmitter includes a transmitter algorithm having at least some trainable weights; transmitting a perturbed version of the transmitter-training sequence of messages from the first transmitter to the second receiver over the channel of the transmission system; receiving a first loss function at the first receiver from the second transmitter, wherein the first loss function is based on the transmitted perturbed versions of the transmitter-training sequence of messages as received at the second receiver and knowledge of the transmitter-training sequence of messages for the first transmitter of the transmission system; and training at least some weights of the transmitter algorithm of the first transmitter based on the first loss function.

    COMMUNICATION SYSTEM
    14.
    发明公开

    公开(公告)号:US20230188394A1

    公开(公告)日:2023-06-15

    申请号:US17926043

    申请日:2021-05-19

    CPC classification number: H04L27/2601 G06N20/00

    Abstract: A communications system and method is described comprising: handshaking between a transmitter and a receiver of the communication system to initiate a training procedure, wherein said handshaking comprises a training setup request message comprising parameters for the training procedure, wherein the transmitter comprises trainable parameters and/or the receiver comprises trainable parameters; receiving identified training data from the transmitter at the receiver, wherein the training data comprises transmitter training data and/or receiver training data; sending training information from the receiver to the transmitter, wherein the training information comprises information for controlling training at the transmitter and/or the receiver; and terminating the training procedure.

    SIGNAL DEMAPPING
    15.
    发明申请

    公开(公告)号:US20220286181A1

    公开(公告)日:2022-09-08

    申请号:US17628372

    申请日:2019-09-03

    Abstract: In one embodiment, a trainable logic includes determination logic configured to determine a plurality of available receiver configurations and associate each receiver configuration with a context matrix; codebook logic configured to select a quantisation codebook to be used by the trainable logic for the context matrices; and learning logic configured to learn from a training dataset including a plurality of received signal samples relevant to reconstruction of a transmitted message. The learning logic is configured to generate, from the training dataset, a set of superposed parameters and context matrices corresponding to the plurality of available receiver configurations and a set of contextual parameters for each context; quantize the context matrices according to the quantisation codebook; and repeat the generation of superposed parameters, context matrices and quantization of context matrices until a stop criterion is met.

    LEARNING IN COMMUNICATION SYSTEMS
    16.
    发明申请

    公开(公告)号:US20220247614A1

    公开(公告)日:2022-08-04

    申请号:US17613578

    申请日:2019-05-30

    Abstract: An apparatus, method and computer program is described comprising: initialising trainable parameters of a transmission system having a transmitter, a channel and a receiver; generating training symbols on the basis of a differentiable distribution function; transmitting modulated training symbols to the receiver over the channel in a training mode; generating a loss function based on the generated training symbols and the modulated training symbols as received at the receiver of the transmission system; and generating updated parameters of the transmission system in order to minimise the loss function.

    Training in Communication Systems
    17.
    发明申请

    公开(公告)号:US20220083870A1

    公开(公告)日:2022-03-17

    申请号:US17421462

    申请日:2019-01-18

    Abstract: An apparatus, method and computer program is described including evaluating some or all of a current population of algorithms according to a metric, each algorithm of the population implementing a transmission system; selecting a subset of the algorithms of the current population based on the metric; generating an updated population of algorithms from said subset; and repeating the evaluating, selecting and generating, based on the updated population, until a first condition is reached.

    END-TO-END LEARNING IN COMMUNICATION SYSTEMS

    公开(公告)号:US20210374529A1

    公开(公告)日:2021-12-02

    申请号:US17277105

    申请日:2018-09-25

    Abstract: An apparatus, method and computer program is described comprising: initialising parameters of a transmission system, wherein the transmission system comprises a transmitter, a channel and a receiver, wherein the transmitter includes a transmitter algorithm having at least some trainable weights and the receiver includes a receiver algorithm having at least some trainable weights; updating trainable parameters of the transmission system based on a loss function, wherein the trainable parameters include the trainable weights of the transmitter and the trainable weights of the receiver and wherein the loss function includes a penalty term; quantizing said trainable parameters, such that said weights can only take values within a codebook having a finite number of entries that is a subset of the possible values available during updating; and repeating the updating and quantizing until a first condition is reached.

    END-TO-END LEARNING IN COMMUNICATION SYSTEMS

    公开(公告)号:US20210201135A1

    公开(公告)日:2021-07-01

    申请号:US17044607

    申请日:2018-04-03

    Abstract: An apparatus and method is described including obtaining or generating a transmitter-training sequence of messages for a transmission system, wherein the transmission system includes a transmitter, a channel and a receiver, wherein the transmitter includes a transmitter algorithm having at least some trainable weights and the receiver includes a receiver algorithm having at least some trainable weights; transmitting perturbed versions of the transmitter-training sequence of messages over the transmission system; receiving first receiver loss function data at the transmitter, the first receiver loss function data being generated based on a received-training sequence as received at the receiver and knowledge of the transmitter training sequence of messages for the transmission system; and training at least some weights of the transmitter algorithm based on first receiver loss function data and knowledge of the transmitter-training sequence of messages and the perturbed versions of the transmitter-training sequence of messages.

    Radio Receiver, Transmitter and System for Pilotless-OFDM Communications

    公开(公告)号:US20230344675A1

    公开(公告)日:2023-10-26

    申请号:US18023547

    申请日:2020-08-27

    CPC classification number: H04L25/0202 H04L27/2647

    Abstract: A communication system including at least one receiver and at least one transmitter is described. The receiver is configured to communicate with the transmitter using a plurality of resource elements within a time-frequency OFDM grid. The transmitter is configured to transmit data-carrying symbols using all resource elements of the plurality of resource elements within the OFDM grid, wherein the data-carrying symbols are modulated using a constellation C. The receiver is configured to receive the data-carrying symbols on all resource elements of the plurality of resource elements within the OFDM grid, and to implement a neural network, configured to operate jointly on the plurality of resource elements, and to output, based on the received data-carrying symbols, a plurality of LLRs to reconstruct information bits from the received data-carrying symbols. The neural network is optimized with respect to the constellation C.

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