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End-to-end learning in communication systems

A technology of transmission system and channel, applied in the direction of transmission system, baseband system, digital transmission system, etc.

Pending Publication Date: 2021-01-15
NOKIA TECH OY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although some attempts have been made in the prior art, there remains room for further development in this field

Method used

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  • End-to-end learning in communication systems
  • End-to-end learning in communication systems
  • End-to-end learning in communication systems

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Embodiment Construction

[0036] figure 1 is a block diagram of an exemplary communication system, generally indicated by the reference numeral 1, in which exemplary embodiments may be implemented. System 1 includes transmitter 2 , channel 4 and receiver 6 . At the system level, system 1 converts input symbols(s) (also called messages) received at the input of transmitter 2 into output symbols at the output of receiver 6

[0037] The transmitter 2 comprises a module 10 (such as a neural network) for implementing a transmitter algorithm. Similarly, the receiver 6 comprises a module 14 for implementing receiver algorithms, such as a neural network. As described in detail below, modules 10 and 14 are trained to optimize overall system performance.

[0038] The transmitter algorithm implemented by module 10 may be implemented as a differentiable parametric function and may include at least some trainable weights (which may be trainable by stochastic gradient descent). Similarly, the receiver algorith...

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Abstract

An apparatus and method is described comprising: obtaining or generating a transmitter-training sequence of messages for 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 trainableweights; 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; andtraining 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 thetransmitter-training sequence of messages.

Description

technical field [0001] This specification relates to learning in communication systems. Background technique [0002] A simple communication system consists of a transmitter, a transmission channel, and a receiver. The design of such a communication system may involve the individual design and optimization of each part of the system. An alternative approach is to treat the entire communication system as a single system and seek to optimize the entire system. Although some attempts have been made in the prior art, there remains room for further development in this field. Contents of the invention [0003] In a first aspect, the specification describes an apparatus comprising: means for obtaining or generating a sequence of transmitter training messages for a transmission system comprising a transmitter, a channel and a receiver, wherein the transmitter comprises a A transmitter algorithm with at least some trainable weights, and the receiver includes a receiver algorithm...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/02H04L25/03G06N3/08
CPCH04L25/03165G06N3/02G06N3/08H04L1/0041H04L1/0045H04L25/03114H04L25/03343G06F18/2413G06F18/2415G06N3/04H04L25/0204H04L25/0226H04B1/02H04B1/06G06N3/045
Inventor J·霍伊迪斯F·艾特·奥迪亚
Owner NOKIA TECH OY