• DocumentCode
    2721571
  • Title

    Using hidden convexity in structured communication problems

  • Author

    Morsy, Tharwat ; Götze, Jürgen ; Nassar, Hamed

  • Author_Institution
    Inf. Process. Lab., Tech. Univ. Dortmund, Dortmund, Germany
  • fYear
    2011
  • fDate
    17-19 Nov. 2011
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Generalized minimum mean squared error (GMMSE) detector has a bit error rate (BER) performance that is almost the same as minimum mean squared error (MMSE) detector and it has the advantage that it does not require the knowledge of the noise power. However, the computational complexity of GMMSE detector is higher than that of MMSE detector. In this paper, the computational complexity of the GMMSE detector is reduced by using the hidden convexity combined with the idea of using the circular approximation of the banded Toeplitz channel matrix. In this case, the solutions are obtained by computing the EVD of the circular matrix using FFT/IFFT such that, the required EVD implies no additional effort.
  • Keywords
    Toeplitz matrices; approximation theory; computational complexity; error statistics; fast Fourier transforms; least mean squares methods; wireless channels; BER performance; EVD; FFT-IFFT; GMMSE detector; banded Toeplitz channel matrix; bit error rate performance; circular approximation; circular matrix; computational complexity; generalized minimum mean squared error detector; hidden convexity; structured communication problems; wireless communication channels; Approximation methods; Bit error rate; Computational complexity; Convex functions; Detectors; Noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Performance Computing and Communications Conference (IPCCC), 2011 IEEE 30th International
  • Conference_Location
    Orlando, FL
  • ISSN
    1097-2641
  • Print_ISBN
    978-1-4673-0010-0
  • Type

    conf

  • DOI
    10.1109/PCCC.2011.6108078
  • Filename
    6108078