• DocumentCode
    2218642
  • Title

    MIMO capacity loss for real world signal constellations and channel degradations

  • Author

    Bauch, Gerhard

  • Author_Institution
    DoCoMo Euro-Labs, Germany
  • Volume
    2
  • fYear
    2004
  • fDate
    5-8 Sept. 2004
  • Firstpage
    1439
  • Abstract
    We provide a capacity analysis of different MIMO techniques such as spatial multiplexing and space-time block coding. In contrast to most capacity evaluations which consider only Gaussian transmit symbols, we take into account restrictions on the transmit symbol alphabet and analyze real world signal constellations. Moreover, we include different detectors such as maximum likelihood, MMSE, zero-forcing, BLAST in the capacity evaluation. Furthermore, we consider not only spatially uncorrelated full rank channels but also channel degradations such as spatial correlation and keyhole effects. The results show that in many practical relevant cases, simple space-time block codes are a robust solution which achieves similar, sometimes even better capacities than spatial multiplexing even though they do not exploit all available MIMO dimensions.
  • Keywords
    Gaussian processes; MIMO systems; block codes; correlation methods; fading channels; least mean squares methods; maximum likelihood detection; multiplexing; space-time codes; BLAST; Gaussian transmit symbol; MIMO capacity loss; MMSE; channel degradation; keyhole effect; maximum likelihood; signal constellation; space-time block coding; spatial correlation; spatial multiplexing; transmit symbol alphabet; zero-forcing; Block codes; Constellation diagram; Degradation; Detectors; MIMO; Maximum likelihood detection; Receiving antennas; Transmitters; Transmitting antennas; Wireless LAN;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Personal, Indoor and Mobile Radio Communications, 2004. PIMRC 2004. 15th IEEE International Symposium on
  • Print_ISBN
    0-7803-8523-3
  • Type

    conf

  • DOI
    10.1109/PIMRC.2004.1373936
  • Filename
    1373936