公开(公告)号：US11575547B2

公开(公告)日：2023-02-07

申请号：US16623072

申请日：2018-05-15

Applicant: Nokia Technologies Oy

Inventor： Jakob Hoydis ,  Sebastian Cammerer ,  Sebastian Dörner

IPC: H04L25/03 ,  G06N3/04 ,  G06N3/08 ,  H04L25/02 ,  H04L27/26

Abstract: A method and devices for configuring a data transmission network are disclosed. The method is for configuring a data transmission network, executed by a configuration device, wherein the data transmission network comprises at least one transmitter, at least one receiver with a communication channel between the transmitter and the receiver, the method comprising: training a machine learning model of the data transmission network, wherein the machine learning model comprises at least a transmitter model including a transmitter neural network, a channel model, and a receiver model including a receiver neural network by providing a message within a sequence of messages; generating a group of transmission symbols for each message in the sequence of messages using the transmitter neural network; concatenating the groups of transmission symbols together as a sequence of transmission symbols; simulating transmission of the sequence of transmission symbols over the communication channel using the channel model to the receiver; analysing a sequence of received symbols using the reception neural network to generate a decoded message; and updating the machine learning model based on an output of said reception neural network. In this way, the machine learning model can be trained using representative sequences of message, which improves performance when deployed in a real network.

公开(公告)号：US11888672B2

公开(公告)日：2024-01-30

申请号：US17541522

申请日：2021-12-03

Applicant: NOKIA TECHNOLOGIES OY

Inventor： Jakob Hoydis ,  Vahid Aref ,  Ahmed Elkelesh ,  Sebastian Cammerer

IPC: H04L27/26 ,  H04L1/20 ,  H04L5/00

CPC classification number: H04L27/2649 ,  H04L1/206 ,  H04L5/0055

Abstract: Different solutions for an apparatus comprising a predictor predicting decodability of received symbols are disclosed. Decoding is performed based on the prediction.

公开(公告)号：US11552731B2

公开(公告)日：2023-01-10

申请号：US17260441

申请日：2018-07-20

Applicant: Nokia Technologies Oy

Inventor： Sebastian Cammerer ,  Sebastian Dörner ,  Stefan Schibisch ,  Jakob Hoydis

IPC: H04L1/00

Abstract: An apparatus, method and computer program is described comprising receiving data at a receiver of a transmission system; using a receiver algorithm to convert data received at the receiver into an estimate of the first coded data, the receiver algorithm having one or more trainable parameters; generating an estimate of first data bits by decoding the estimate of the first coded data, said decoding making use of an error correction code of said encoding of the first data bits; generating a refined estimate of the first coded data by encoding the estimate of the first data bits; generating a loss function based on a function of the refined estimate of the first coded data and the estimate of the first coded data; updating the trainable parameters of the receiver algorithm in order to minimise the loss function; and controlling a repetition of updating the trainable parameters by generating, for each repetition, for the same received data, a further refined estimate of the first coded data, a further loss function and further updated trainable parameters.

公开(公告)号：US12107679B2

公开(公告)日：2024-10-01

申请号：US17594511

申请日：2019-04-29

Applicant: Nokia Technologies Oy

Inventor： Jakob Hoydis ,  Sebastian Cammerer ,  Sebastian Dorner ,  Stephan Ten Brink

IPC: H04L1/00 ,  G06N3/08 ,  H04L1/1607

CPC classification number: H04L1/005 ,  G06N3/08 ,  H04L1/1607

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.

公开(公告)号：US20200177418A1

公开(公告)日：2020-06-04

申请号：US16623072

申请日：2018-05-15

Applicant: Nokia Technologies Oy

Inventor： Jakob Hoydis ,  Sebastian Cammerer ,  Sebastian Dörner

IPC: H04L25/03 ,  G06N3/04 ,  G06N3/08 ,  H04L27/26 ,  H04L25/02

Abstract: A method and devices for configuring a data transmission network are disclosed. The method is for configuring a data transmission network, executed by a configuration device, wherein the data transmission network comprises at least one transmitter, at least one receiver with a communication channel between the transmitter and the receiver, the method comprising: training a machine learning model of the data transmission network, wherein the machine learning model comprises at least a transmitter model including a transmitter neural network, a channel model, and a receiver model including a receiver neural network by providing a message within a sequence of messages; generating a group of transmission symbols for each message in the sequence of messages using the transmitter neural network; concatenating the groups of transmission symbols together as a sequence of transmission symbols; simulating transmission of the sequence of transmission symbols over the communication channel using the channel model to the receiver; analysing a sequence of received symbols using the reception neural network to generate a decoded message; and updating the machine learning model based on an output of said reception neural network. In this way, the machine learning model can be trained using representative sequences of message, which improves performance when deployed in a real network.