• DocumentCode
    2455044
  • Title

    How Much Training is Required for Multiuser Mimo?

  • Author

    Marzetta, Thomas L.

  • Author_Institution
    Bell Labs., Lucent Technol., Murray Hill, NJ
  • fYear
    2006
  • fDate
    Oct. 29 2006-Nov. 1 2006
  • Firstpage
    359
  • Lastpage
    363
  • Abstract
    An M-element antenna array (the base station) transmits, on the downlink, K les M sequences of QAM symbols selectively and simultaneously to K autonomous single-antenna terminals through a linear pre-coder that is the pseudo-inverse of an estimate of the forward channel matrix. We assume time-division duplex (TDD) operation, so the base station derives its channel estimate from taurp pilot symbols which the terminals transmit on the reverse link. A coherence interval of T symbols is expended as follows: taurp reverse pilot symbols, one symbol for computations, and (T-l-taurp) forward QAM symbols for each terminal For a given coherence interval, number of base station antennas, and forward- and reverse-SINR´s we determine the optimum number of terminals to serve simultaneously and the optimum number of reverse pilot symbols to employ by choosing these parameters to maximize a lower bound on the net sum-throughput. The lower bound rigorously accounts for channel estimation error, and is valid for all SINR´s. Surprisingly it is always advantageous to increase the number of base station antennas, even when the reverse SINR is low and the channel estimate poor: greater numbers of antennas enable us to climb out of the noise and to serve more terminals. Even within short coherence intervals (T= 10 symbols) and with low SINR´s (-10.0 dB reverse, 0.0 dB forward) given large numbers of base station antennas (M ges 16 ) it is both feasible and advantageous to learn the channel and to serve a multiplicity of terminals simultaneously as well.
  • Keywords
    MIMO communication; antenna arrays; channel estimation; multi-access systems; M-element antenna array; autonomous single-antenna terminals; channel estimate; channel estimation error; forward channel matrix; linear pre-coder; multiple input multiple output systems; multiuser MIMO; pseudo-inverse; reverse pilot symbols; time-division duplex operation; Base stations; Broadcasting; Channel estimation; Downlink; Linear antenna arrays; MIMO; Quadrature amplitude modulation; Receiving antennas; Signal to noise ratio; Throughput;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 2006. ACSSC '06. Fortieth Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA
  • ISSN
    1058-6393
  • Print_ISBN
    1-4244-0784-2
  • Electronic_ISBN
    1058-6393
  • Type

    conf

  • DOI
    10.1109/ACSSC.2006.354768
  • Filename
    4176578