Apparatus and Method for Identifying Transmitting Radio Devices

    公开(公告)号:US20230324540A1

    公开(公告)日:2023-10-12

    申请号:US18019191

    申请日:2021-07-26

    CPC classification number: G01S13/867 H04L25/0212

    Abstract: A method and an apparatus for identifying transmitting radio devices from a plurality of radio deviceswithin a video feed is described. At least one radio signal identifying a transmitting radio device is received, from the plurality of radio devices. A video feed identifying radio deviceswithin a field of view of the computer vision (CV)system is received, from the CV system. A first set of features is extracted from the received at least one radio signal and a second set of features is extracted from the received video feed. The first set of features and the second set of features are provided as an input to a machine learning (ML) algorithm to obtain a relationship between the transmitting radio device and the radio devicesidentified in the video feed.

    Iterative Detection in a Communication System

    公开(公告)号:US20220209888A1

    公开(公告)日:2022-06-30

    申请号:US17594511

    申请日:2019-04-29

    Abstract: An apparatus, computer program and method is described including receiving data at a receiver of a communication system, generating an estimate of the data as transmitted by a transmitter of the transmission system (wherein generating the estimate includes a receiver algorithm having at least some trainable weights), generating a refined estimate of the transmitted data, based on said estimate and an error correction algorithm (wherein, in an operational mode, said estimate of the data as transmitted is generated based on the received data and said refined estimate); and generating, in the operational mode, a revised estimate of the transmitted data on each of a plurality of iterations of said generating an estimate of the transmitted data until a first condition is reached.

    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.

    BEAM ALIGNMENT
    5.
    发明申请

    公开(公告)号:US20210391911A1

    公开(公告)日:2021-12-16

    申请号:US17279361

    申请日:2018-09-28

    Abstract: A method, apparatus and computer program is described, comprising: obtaining a first beam alignment dataset, wherein the first beam alignment dataset comprises measurement data for a first plurality of beam pair transmissions, wherein each beam pair transmission of the first plurality is between one of a plurality of communication beams of a first user device and one of a plurality of communication beams of a base station and wherein the first plurality of beam pair transmissions is a subset of all available beam pair transmissions between the first user device and the base station; and selecting a first beam pair combination for communications between the first user device and the base station, wherein the first beam pair combination comprises one of the plurality of beams of the first user device and one of the plurality of beams of the base station, wherein the means for selecting the first beam pair combination comprises a machine-learning model trained with a second beam alignment dataset.

    TRANSMITTER
    6.
    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.

    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.

    Training in Communication Systems
    8.
    发明公开

    公开(公告)号:US20230246887A1

    公开(公告)日:2023-08-03

    申请号:US18013586

    申请日:2020-06-29

    CPC classification number: H04L25/03165 H04L25/03343 H04B7/0615

    Abstract: An apparatus, method and computer program is described including: receiving, at a receiver of a transmissions system, transmitted signals from each of a plurality of transmitters, wherein each transmitter communicates with the receiver over one of a plurality of channels of the transmission system, wherein each transmitter includes a transmitter algorithm having at least some trainable weights, wherein each transmitter algorithm has the same trainable weights and wherein each of the transmitted signals is based on a perturbed channel symbol generated at the respective transmitter, wherein the channel symbols and perturbations are known to the receiver; updating the weights of the transmitter algorithm, at the receiver, based on a loss function; providing the updated weights to each transmitter of the transmission system; and repeating the receiving and updating until a first condition is reached.

    DETECTION ALGORITHM
    9.
    发明申请

    公开(公告)号:US20220327380A1

    公开(公告)日:2022-10-13

    申请号:US17641648

    申请日:2019-09-12

    Abstract: An apparatus, method and computer program is described comprising: initialising a plurality of sets of trainable parameters, one set of trainable parameters being initialised for each of a plurality of detection algorithms; obtaining a dataset comprising a plurality of sets of data, each set of data comprising a transmit vector, a receive vector and a channel matrix describing a channel; allocating each of the sets of data to one of a plurality of clusters based on the channel matrix of the respective set of data, wherein each cluster is associated with one of said detection algorithms, wherein the allocation is performed according to a clustering algorithm; and training the trainable parameters of each detection algorithm using the sets of data allocated to the respective cluster.

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