The design and performance of a neural network for predicting turbo decoding error with application to hybrid ARQ protocols.
It is shown that a neural network can be trained to observe the cross entropy of the outputs of component decoders in a turbo error control system and to accurately predict the presence of errors in the decoded data. The neural network can be used as a trigger for retransmission requests at either t...
| Опубликовано в:: | IEEE Transactions on communications 48, 4 (2000). |
|---|---|
| Главный автор: | |
| Формат: | Статья |
| Язык: | English |
| Предметы: |