• DocumentCode
    22397
  • Title

    Approximate ergodic capacity of multiuser massive multiple input multiple output in a Rayleigh fading uplink channel with variance profile

  • Author

    Kazemi, Mohammad ; Aghaeinia, Hassan

  • Author_Institution
    Electr. Eng. Dept., Amirkabir Univ. of Technol., Tehran, Iran
  • Volume
    9
  • Issue
    6
  • fYear
    2015
  • fDate
    4 16 2015
  • Firstpage
    844
  • Lastpage
    852
  • Abstract
    The effect of large-scale fading variations over massive multiple input multiple output (MIMO) antenna array on sum-capacity of massive MIMO system has not been thoroughly investigated in the literature. This study considers a multiuser massive MIMO system with a Rayleigh fading channel that takes into account large-scale fading variations over base station antenna array. Two scenarios are investigated: distributed antenna base station and linear array base station. In both scenarios, the authors obtain an approximate closed-form expressions for uplink ergodic sum-capacity for both low and high signal-to-noise ratio (SNR) regimes. It is shown that the proposed closed-form expressions are accurate in a wide range of practical SNRs; for example, the approximation error is below 10% for SNRs lower than -10 dB and higher than 17 dB for low-SNR and high-SNR closed-form expressions, respectively. It is also shown that the proposed closed-form expressions are not only valid for massive MIMO scenario but also for a system with a few number of base station antennas. The numerical results show that the proposed closed-form expressions have much less computational complexity than previous works.
  • Keywords
    MIMO communication; Rayleigh channels; approximation theory; channel capacity; linear antenna arrays; multiuser channels; MIMO antenna array; Rayleigh fading channel; SNR; approximate uplink ergodic sum capacity; base station antenna array; distributed antenna base station; large scale fading variation effect; linear array base station; multiple input multiple output; multiuser massive MIMO system; signal-to-noise ratio;
  • fLanguage
    English
  • Journal_Title
    Communications, IET
  • Publisher
    iet
  • ISSN
    1751-8628
  • Type

    jour

  • DOI
    10.1049/iet-com.2014.0566
  • Filename
    7084235