• DocumentCode
    1853212
  • Title

    Spatio-temporal coding for wireless communications

  • Author

    Raleigh, G.G. ; Cioffi, J.M.

  • Author_Institution
    Inf. Syst. Lab., Stanford Univ., CA, USA
  • Volume
    3
  • fYear
    1996
  • fDate
    18-22 Nov 1996
  • Firstpage
    1809
  • Abstract
    A compact model is derived for the multiple-input multiple output (MIMO), dispersive, spatially selective wireless communication channel. The multivariate information capacity behavior is then analyzed for various input and output antenna configurations. For high SNR conditions, the MIMO channel can exhibit a capacity slope in bits per dB of power increase that is proportional to the minimum of the number multipath components, the number of input antennas, or the number of output antennas. The discrete matrix multitone (DMMT) is proposed as an asymptotically optimal, practical spatio-temporal coding structure. Experimental examples that support the theoretical results are presented
  • Keywords
    antennas; channel capacity; channel coding; matrix algebra; multipath channels; radiocommunication; MIMO communication channel; asymptotically optimal coding; capacity slope; discrete matrix multitone; dispersive channel; experimental results; high SNR; input antenna configuration; memory channel; multipath components; multiple input multiple output channel; multivariate information capacity; output antenna configuration; spatially selective wireless communication channel; spatiotemporal coding; Antenna accessories; Antennas and propagation; Bandwidth; Filters; Geometry; MIMO; Receiving antennas; Scattering; Transmitting antennas; Wireless communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Telecommunications Conference, 1996. GLOBECOM '96. 'Communications: The Key to Global Prosperity
  • Conference_Location
    London
  • Print_ISBN
    0-7803-3336-5
  • Type

    conf

  • DOI
    10.1109/GLOCOM.1996.591950
  • Filename
    591950