• DocumentCode
    414910
  • Title

    On lowering the error floor of bit-interleaved turbo-coded modulation

  • Author

    Rosnes, Eirik ; Ytrehus, øyvind

  • Author_Institution
    Dept. of Informatics, Bergen Univ., Norway
  • Volume
    2
  • fYear
    2004
  • fDate
    20-24 June 2004
  • Firstpage
    717
  • Abstract
    In this paper we introduce an algorithm to optimize the performance in the error floor region of bit-interleaved turbo-coded modulation (BITCM) on the additive white Gaussian noise (AWGN) channel. The key ingredient is an exact turbo code weight distribution algorithm producing a list of all codewords in the underlying turbo code of weight less than a given threshold. In BITCM, the information sequence is turbo-encoded, bit- interleaved, and mapped to signal points in a signal constellation. Using the union bounding technique, we show that a well-designed bit-interleaver is crucial to have a low error floor. Furthermore, the error rate performance in the waterfall region depends on the bit-interleaver, since the level of protection from channel noise on the bit-level depends on the bit-position and the neighboring bit values within the same symbol in the transmitted sequence. We observe a trade-off between error rate performance in the waterfall and error floor regions as illustrated by an extensive case study of a high-rate BITCM scheme. The reported case study shows that it is possible to design bit-interleavers with our proposed algorithm with equal or better performance in the waterfall region and superior performance in the error floor region compared to randomly generated bit-interleavers. In particular, we were able to design BITCM schemes with maximum-likelihood decoding frame error rates of 10-12 and 10-17 at 2.6 dB and 3.8 dB away from unconstrained channel capacity at spectral efficiencies of 3.10 and 6.20 b/s/Hz using square 16 and 256-QAM signal constellations, respectively.
  • Keywords
    AWGN channels; channel capacity; channel coding; error statistics; interleaved codes; maximum likelihood decoding; modulation coding; quadrature amplitude modulation; turbo codes; AWGN; QAM; additive white Gaussian noise channel; bit-interleaved turbo-coded modulation; channel capacity; channel noise; exact turbo code weight distribution algorithm; frame error rates; maximum-likelihood decoding; quadrature amplitude modulation; union bounding technique; AWGN; Additive white noise; Algorithm design and analysis; Constellation diagram; Error analysis; Gaussian noise; Noise level; Protection; Signal design; Turbo codes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, 2004 IEEE International Conference on
  • Print_ISBN
    0-7803-8533-0
  • Type

    conf

  • DOI
    10.1109/ICC.2004.1312595
  • Filename
    1312595