• DocumentCode
    3608142
  • Title

    Asymptotic Capacity Analysis for Sparse Multipath Multiple-Input Multiple-Output Channels

  • Author

    Wenlong Cai ; Peng Wang ; Yonghui Li ; Youguang Zhang ; Peng Pan

  • Author_Institution
    Sch. of Electron. & Inf. Eng., Beihang Univ., Beijing, China
  • Volume
    19
  • Issue
    12
  • fYear
    2015
  • Firstpage
    2262
  • Lastpage
    2265
  • Abstract
    This letter is concerned with the asymptotic capacity analysis for sparse multipath multiple-input multiple-output (MIMO) channels. On the basis of independent multipath assumption, we asymptotically analyze the impact of system sparsity on the eigenvalue performance and capacity of the channel, and derive the closed-form expressions for them. Moreover, the approximations of the asymptotic channel capacity at high signal-to-noise ratios (SNRs) and low SNRs have also been presented. Our results indicate that the channel capacity is a monotonic increasing function of channel sparsity. Compared with the rich scattering environments, there is a decrease of channel capacity in the sparse channels, and the decrease at high SNRs only depends on the channel sparsity. Numerical results show that the asymptotic results have good accuracy to predict the capacity of MIMO systems with limited number of antennas.
  • Keywords
    MIMO communication; channel capacity; eigenvalues and eigenfunctions; multipath channels; SNR; asymptotic capacity analysis; channel capacity; channel sparsity; eigenvalue performance; independent multipath assumption; signal-to-noise ratios; sparse channels; sparse multipath MIMO channels; sparse multipath multiple-input multiple-output channels; system sparsity; Antennas; Channel capacity; Eigenvalues and eigenfunctions; MIMO; Scattering; Signal to noise ratio; Sparse matrices; Sparse multipath channel; multiple-input multiple-output communication; random matrix theory (RMT);
  • fLanguage
    English
  • Journal_Title
    Communications Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1089-7798
  • Type

    jour

  • DOI
    10.1109/LCOMM.2015.2490069
  • Filename
    7296600