Sammanfattning
In this paper, we perform a threshold analysis of braided convolutional codes on the additive white Gaussian noise (AWGN) channel. The decoding thresholds are estimated by Monte-Carlo density evolution techniques and compared with approximate thresholds from an erasure channel prediction. The results show that, with spatial coupling, the predicted thresholds are very accurate and quickly approach capacity if the coupling memory is increased. For uncoupled ensembles with random puncturing, the prediction can be improved with help of the AWGN threshold of the unpunctured ensemble.
Originalspråk | engelska |
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Titel på värdpublikation | 2018 IEEE International Symposium on Information Theory, ISIT 2018 |
Förlag | IEEE - Institute of Electrical and Electronics Engineers Inc. |
Sidor | 1375-1379 |
Antal sidor | 5 |
Volym | 2018-June |
ISBN (tryckt) | 9781538647806 |
DOI | |
Status | Published - 2018 aug. 15 |
Evenemang | 2018 IEEE International Symposium on Information Theory, ISIT 2018 - Vail, USA Varaktighet: 2018 juni 17 → 2018 juni 22 |
Konferens
Konferens | 2018 IEEE International Symposium on Information Theory, ISIT 2018 |
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Land/Territorium | USA |
Ort | Vail |
Period | 2018/06/17 → 2018/06/22 |
Ämnesklassifikation (UKÄ)
- Sannolikhetsteori och statistik