• DocumentCode
    3613107
  • Title

    Spectral efficiency analysis for downlink massive MIMO systems with MRT precoding

  • Author

    Yingchao Lin ; Xiaohui Li ; Weihong Fu ; Yongqiang Hei

  • Author_Institution
    Xidian Univ., Xi´an, China
  • Volume
    12
  • fYear
    2015
  • fDate
    12/1/2015 12:00:00 AM
  • Firstpage
    67
  • Lastpage
    73
  • Abstract
    As an important part of the channel fading, large scale fading should be considered in downlink massive multiple-input multiple-output (MIMO) systems. This paper investigates the downlink massive MIMO system over a large scale fading channel, when the base station takes advantage of maximum-radio transmission (MRT) precoding. The cases when the base station has perfect and imperfect channel state information (CSI) are considered respectively. Specially, through the analysis of single user´s ergodic achievable rate, some novel and approximate expressions for the spectral efficiency (SE) are derived. Based on the approximate SE, the effect of the channel estimation error is analyzed intuitively. In addition, the average SE of all the users with different large-scale fading parameters is carefully investigated. Simulations validate that all the theoretical results coincide with numerical results and the large scale fading factors have little influence on SE reduction resulted from channel estimation.
  • Keywords
    MIMO communication; channel estimation; precoding; radio links; wireless channels; CSI; MRT precoding; SE; base station; channel estimation error; channel fading; channel state information; downlink massive MIMO systems; large scale fading channel; maximum-radio transmission precoding; spectral efficiency analysis; Channel estimation; Downlink; Energy efficiency; Fading; MIMO; Resource management; channel estimation; linear precoding; massive MIMO; spectral efficiency;
  • fLanguage
    English
  • Journal_Title
    Communications, China
  • Publisher
    ieee
  • ISSN
    1673-5447
  • Type

    jour

  • DOI
    10.1109/CC.2015.7386172
  • Filename
    7386172