• DocumentCode
    1439367
  • Title

    Mutual Information Expansion for MIMO Systems and Capacity Formulae at Low SNR

  • Author

    Ioannou, Ioanna ; Charalambous, Charalambos D. ; Denic, Stojan

  • Author_Institution
    Univ. of Cyprus, Nicosia, Cyprus
  • Volume
    15
  • Issue
    3
  • fYear
    2011
  • fDate
    3/1/2011 12:00:00 AM
  • Firstpage
    329
  • Lastpage
    331
  • Abstract
    The paper introduces a new asymptotic series expansion for the mutual information of multiple-input multiple-output (MIMO) channels. The expansion approaches mutual information from below, and for low signal to noise ratio (SNR) first and second order terms give a tight lower bound. The low SNR approximation is used to derive a new water-filling power allocation at the transmitter for the case when the receiver and the transmitter have perfect channel state information. The low SNR approximation is also compared against existing approximations, while the new water-filling policy is related to minimum mean square decoding subject to power constraint.
  • Keywords
    MIMO communication; least mean squares methods; telecommunication channels; MIMO systems; SNR approximation; capacity formulae; channel state information; low signal to noise ratio; lower bound; minimum mean square decoding; multiple input multiple output channels; mutual information expansion; power constraint; water-filling power allocation; Approximation methods; Eigenvalues and eigenfunctions; MIMO; Mutual information; Resource management; Signal to noise ratio; Upper bound; Mutual information expansion; channel capacity; low SNR;
  • fLanguage
    English
  • Journal_Title
    Communications Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1089-7798
  • Type

    jour

  • DOI
    10.1109/LCOMM.2011.012511.102277
  • Filename
    5704854