• DocumentCode
    1754746
  • Title

    All-Optical Silicon-Photonic Constellation Conversion of Amplitude–Phase Modulation Formats

  • Author

    Yeminy, Tomer ; Sadot, Dan ; Zalevsky, Zeev

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Ben Gurion Univ., Beer-Sheva, Israel
  • Volume
    7
  • Issue
    2
  • fYear
    2015
  • fDate
    42095
  • Firstpage
    1
  • Lastpage
    14
  • Abstract
    Optical communication networks use electrical constellation converters requiring optical-electrical-optical conversions and expensive symbol-rate limiting electronics. In this paper, a generic method for all-optical silicon-photonic conversion of amplitude-phase modulation formats is proposed. The method is based on the implementation of single-layer radial basis function neural networks. A mathematical model is developed, and the parameters influencing the performance of the method are analyzed. Full optical simulation of a four-symbol constellation conversion was performed, resulting in error-free converted constellation that has an error vector magnitude lower than 2.5%.
  • Keywords
    amplitude modulation; elemental semiconductors; integrated optics; optical fibre communication; optical modulation; optical neural nets; phase modulation; radial basis function networks; silicon; telecommunication computing; Si; all-optical silicon-photonic constellation conversion; amplitude-phase modulation formats; error vector magnitude; optical communication networks; optical-electrical-optical conversions; silicon-photonic integrated circuit; single-layer radial basis function neural networks; symbol-rate limiting electronics; Couplers; Fiber nonlinear optics; Optical amplifiers; Optical fibers; Optical signal processing; Fiber-optic communications; integrated optics; neural networks; silicon optoelectronics; silicon optoelectronics.;
  • fLanguage
    English
  • Journal_Title
    Photonics Journal, IEEE
  • Publisher
    ieee
  • ISSN
    1943-0655
  • Type

    jour

  • DOI
    10.1109/JPHOT.2015.2409234
  • Filename
    7055224