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...
| Publicado en: | IEEE Transactions on communications 48, 4 (2000). |
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| Autor Principal: | |
| Formato: | Artigo |
| Idioma: | English |
| Subjects: |