• DocumentCode
    270239
  • Title

    Massive MIMO systems with hardware-constrained base stations

  • Author

    Bjornson, Emil ; Matthaiou, Michail ; Debbah, Mérouane

  • Author_Institution
    Dept. of Flexible Radio, SUPELEC, Gif-sur-Yvette, France
  • fYear
    2014
  • fDate
    4-9 May 2014
  • Firstpage
    3142
  • Lastpage
    3146
  • Abstract
    Massive multiple-input multiple-output (MIMO) systems are cellular networks where the base stations (BSs) are equipped with unconventionally many antennas. Such large antenna arrays offer huge spatial degrees-of-freedom for transmission optimization; in particular, great signal gains, resilience to imperfect channel knowledge, and small inter-user interference are all achievable without extensive inter-cell coordination. The key to cost-efficient deployment of large arrays is the use of hardware-constrained base stations with low-cost antenna elements, as compared to today´s expensive and power-hungry BSs. Low-cost transceivers are prone to hardware imperfections, but it has been conjectured that the excessive degrees-of-freedom of massive MIMO would bring robustness to such imperfections. We herein prove this claim for an uplink channel with multiplicative phase-drift, additive distortion noise, and noise amplification. Specifically, we derive a closed-form scaling law that shows how fast the imperfections increase with the number of antennas.
  • Keywords
    MIMO communication; antenna arrays; interference; optimisation; additive distortion noise; cellular networks; closed-form scaling law; hardware-constrained base station; imperfect channel knowledge; large antenna arrays; massive MIMO system; massive multiple-input multiple-output system; multiplicative phase-drift; noise amplification; small inter-user interference; uplink channel; Antenna arrays; Channel estimation; Hardware; MIMO; Noise; Uplink; Achievable uplink rates; channel estimation; massive MIMO; scaling laws; transceiver hardware imperfections;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
  • Conference_Location
    Florence
  • Type

    conf

  • DOI
    10.1109/ICASSP.2014.6854179
  • Filename
    6854179