• DocumentCode
    1994399
  • Title

    Channel-Matched Coding for Coarsely Quantized Coherent Optical Communication Systems

  • Author

    Lang, T. ; Mezghani, A. ; Kuschnerov, M. ; Lankl, B. ; Nossek, J.A.

  • Author_Institution
    Tech. Univ. Munchen, Munich, Germany
  • fYear
    2010
  • fDate
    6-10 Dec. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    We present a channel-matched coding method for the compensation of dispersion in coarsely quantized coherent optical communication systems. The approach consists in optimizing a subset of equiprobable input symbols for each channel state, which is robust against dispersion and coarse quantization. This codebook optimization is solved efficiently using an iterative algorithm. The performance of the channel-matched codes is simulated for a 42.8Gbit/s dual-polarization coherent optical fiber system with QPSK modulation and single-bit analog-to-digital (A/D) conversion. Apart from the optimization, the proposed coding method does not increase the encoding/decoding complexity, but yields a considerable coding gain.
  • Keywords
    analogue-digital conversion; channel allocation; channel coding; decoding; optical fibre communication; optical fibre dispersion; optical fibre polarisation; optimisation; quadrature phase shift keying; A/D conversion; QPSK modulation; channel state; channel-matched codes; channel-matched coding method; coarse quantization; coarsely quantized coherent optical communication systems; codebook optimization; coding gain; compensation; decoding complexity; dispersion; dual-polarization coherent optical fiber system; encoding complexity; equiprobable input symbols; iterative algorithm; single-bit analog-to-digital conversion; Block codes; Dispersion; Optical modulation; Optical polarization; Optimization; Phase shift keying;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Telecommunications Conference (GLOBECOM 2010), 2010 IEEE
  • Conference_Location
    Miami, FL
  • ISSN
    1930-529X
  • Print_ISBN
    978-1-4244-5636-9
  • Electronic_ISBN
    1930-529X
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2010.5683794
  • Filename
    5683794