• DocumentCode
    3603988
  • Title

    Asymptotic Orthogonality Analysis of Time-Domain Sparse Massive MIMO Channels

  • Author

    Zhen Gao ; Linglong Dai ; Chau Yuen ; Zhaocheng Wang

  • Author_Institution
    Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
  • Volume
    19
  • Issue
    10
  • fYear
    2015
  • Firstpage
    1826
  • Lastpage
    1829
  • Abstract
    The theoretical analysis of downlink massive MIMO usually assumes the ideal Gaussian channel matrix with asymptotic orthogonality of channel vectors. Meanwhile, recent experiments have shown that massive MIMO channels between a certain user and massive base station antennas appear the spatial common sparsity (SCS) in both the time domain and angle domain. This motivates us to investigate whether realistic sparse massive MIMO channels could provide the favorable propagation condition, and reveal the capacity gap between massive MIMO systems over realistic sparse channels and that under the ideal Gaussian channel matrix assumption. This letter theoretically proves that channel vectors associated with different users in massive MIMO over sparse channels satisfy the asymptotic orthogonality. Moreover, the simulation results confirm the theoretical analysis.
  • Keywords
    Gaussian channels; MIMO communication; antenna arrays; matrix algebra; time-domain analysis; wireless channels; Gaussian channel matrix; SCS; angle domain; asymptotic orthogonality analysis; capacity gap; massive base station antenna; spatial common sparsity; time-domain sparse massive MIMO channel; Antennas; Delays; Downlink; Fading; MIMO; Sparse matrices; Time-domain analysis; Massive MIMO; asymptotic orthogonality; favorable propagation condition; spatial common sparsity (SCS);
  • fLanguage
    English
  • Journal_Title
    Communications Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1089-7798
  • Type

    jour

  • DOI
    10.1109/LCOMM.2015.2460243
  • Filename
    7166308