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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Geldmacher, J. Hueske, K. Gotze, J. Kosakowski, M. |
| Copyright Year | 2011 |
| Description | Author affiliation: Information Processing Lab, TU Dortmund University, Otto-Hahn-Strasse 4, 44227 Dortmund, Germany (Geldmacher, J.; Hueske, K.; Gotze, J.) || Research In Motion Deutschland GmbH, Universitätsstr. 140, 44799 Bochum, Germany (Kosakowski, M.) |
| Abstract | In this paper a syndrome based Low SNR early termination (Low SNR ET) scheme for Turbo decoding is presented. The scheme is based only on hard decision binary computations and is therefore easy to realize. While Low SNR ET is a general principle that can be applied in various scenarios, the focus of this work is on its application in the Long Term Evolution (LTE) system. It is shown that Low SNR ET is in particular very effective for typical LTE scenarios and that the proposed scheme can reduce the decoding iterations by about one third. |
| Starting Page | 26 |
| Ending Page | 30 |
| File Size | 131878 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781612844039 |
| ISSN | 21540225 |
| e-ISBN | 9781612844022 |
| e-ISBN | 9781612844015 |
| DOI | 10.1109/ISWCS.2011.6125303 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-11-06 |
| Publisher Place | Germany |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Systematics Turbo codes Decoding Computational complexity Iterative decoding Signal to noise ratio |
| Content Type | Text |
| Resource Type | Article |
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