Telefonaktiebolaget LM Ericsson (publ)
NEURAL NETWORKS FOR DECODING
Last updated:
Abstract:
Methods and apparatus for training a Neural Network to recover a codeword of a Forward Error Correction code are provided. Trainable parameters of the Neural Network are optimised to minimise a loss function. The loss function is calculated by representing an estimated value of the message bit output from the Neural Network as a probability of the value of the bit in a predetermined real number domain and multiplying the representation of the estimated value of the message bit by a representation of a target value of the message bit. Training a neural network may be implemented via a loss function.
Status:
Application
Type:
Utility
Filling date:
22 Aug 2018
Issue date:
15 Apr 2021