• DocumentCode
    3416477
  • Title

    Quantifying diversity for wireless systems with finite-bit representation

  • Author

    Zhang, Wei ; Ma, Xiaoli

  • Author_Institution
    Sch. of ECE, Georgia Inst. of Technol., Atlanta, GA
  • fYear
    2008
  • fDate
    March 31 2008-April 4 2008
  • Firstpage
    2841
  • Lastpage
    2844
  • Abstract
    Diversity order is widely adopted as a critical metric on the reliability of wireless transmissions over fading channels. Numerous designs have been proposed to collect the diversity from different types of channels. However, since the simulators and practical systems can only afford finite bits to represent the real/complex numbers, the definition of diversity needs to be revisited. In this paper, we thoroughly investigate the effects of finite-bit representation on the statistical properties of the channel and the diversity with different transmitters/receivers. We show that finite-bit representation may cause diversity loss relative to the infinite precision representation. For different transmission systems, the diversity loss follows different patterns as the number of bits decreases. Furthermore, we find that the number of non-vanishing eigenvalues plays an important role in quantizing the diversity for infinite lattice/constellation. Numerical examples verify our theoretical findings.
  • Keywords
    diversity reception; eigenvalues and eigenfunctions; fading channels; statistical analysis; telecommunication network reliability; diversity order; diversity quantification; eigenvalues; fading channels; finite-bit representation; infinite constellation; infinite lattice; infinite precision representation; statistical properties; transmission systems; wireless systems; wireless transmission reliability; Collaborative work; Equalizers; Fading; Gaussian channels; Government; Lattices; Maximum likelihood estimation; OFDM; Signal to noise ratio; Transmitters; Diversity; finite-bit representation; lattice reduction; maximum likelihood equalizer;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
  • Conference_Location
    Las Vegas, NV
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-1483-3
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2008.4518241
  • Filename
    4518241