Hard Decision Based Low SNR Early Termination for LTE Turbo Decoding (bibtex)
by , , ,
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.
Reference:
J. Geldmacher, K. Hueske, J. Götze, M. Kosakowski, Hard Decision Based Low SNR Early Termination for LTE Turbo Decoding, In The 8th International Symposium on Wireless Communication Systems (IEEE ISWCS2011), Aachen, Germany, pp. 26 -30, 2011.
Bibtex Entry:
@Conference{Geldmacher2011a,
  Title                    = {Hard Decision Based Low SNR Early Termination for LTE Turbo Decoding},
  Author                   = {J. Geldmacher and K. Hueske and J. G\"otze and M. Kosakowski},
  Booktitle                = {The 8th International Symposium on Wireless Communication Systems (IEEE ISWCS2011)},
  Year                     = {2011},

  Address                  = {Aachen, Germany},
  Month                    = {November},
  Pages                    = {26 -30},

  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.},
  Doi                      = {10.1109/ISWCS.2011.6125303},
  ISSN                     = {2154-0217},
  Url                      = {http://www.dt.e-technik.tu-dortmund.de/publikationen/iswcs2011_jan.pdf}
}
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