• DocumentCode
    82249
  • Title

    Capacity Pre-Log of Noncoherent SIMO Channels Via Hironaka´s Theorem

  • Author

    Morgenshtern, V.I. ; Riegler, Erwin ; Wei Yang ; Durisi, Giuseppe ; Shaowei Lin ; Sturmfels, B. ; Bolcskei, Helmut

  • Author_Institution
    Dept. of Stat., Stanford Univ., Stanford, CA, USA
  • Volume
    59
  • Issue
    7
  • fYear
    2013
  • fDate
    Jul-13
  • Firstpage
    4213
  • Lastpage
    4229
  • Abstract
    We find the capacity pre-log of a temporally correlated Rayleigh block-fading single-input multiple-output (SIMO) channel in the noncoherent setting. It is well known that for block-length L and rank of the channel covariance matrix equal to Q, the capacity pre-log in the single-input single-output (SISO) case is given by 1-Q/L. Here, Q/L can be interpreted as the pre-log penalty incurred by channel uncertainty. Our main result reveals that, by adding only one receive antenna, this penalty can be reduced to 1/L and can, hence, be made to vanish for the block-length L→∞, even if Q/L remains constant as L→∞. Intuitively, even though the SISO channels between the transmit antenna and the two receive antennas are statistically independent, the transmit signal induces enough statistical dependence between the corresponding receive signals for the second receive antenna to be able to resolve the uncertainty associated with the first receive antenna´s channel and thereby make the overall system appear coherent. The proof of our main theorem is based on a deep result from algebraic geometry known as Hironaka´s Theorem on the Resolution of Singularities.
  • Keywords
    Rayleigh channels; covariance matrices; receiving antennas; transmitting antennas; Hironaka theorem; Rayleigh block fading single input multiple output channel; SISO channel; algebraic geometry; capacity prelog; channel covariance matrix; channel uncertainty; noncoherent SIMO channels; prelog penalty; receive antenna channel; single input single output; statistical dependence; transmit antenna; transmit signal; Covariance matrix; Equations; Mathematical model; Receiving antennas; Signal to noise ratio; Uncertainty; Vectors; Fading; multiple-antenna channels; noncoherent capacity;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2013.2251394
  • Filename
    6475182