• DocumentCode
    268533
  • Title

    Massive MIMO in the UL/DL of Cellular Networks: How Many Antennas Do We Need?

  • Author

    Hoydis, Jakob ; ten Brink, Stephan ; Debbah, Mérouane

  • Author_Institution
    Bell Labs., Alcatel-Lucent, Stuttgart, Germany
  • Volume
    31
  • Issue
    2
  • fYear
    2013
  • fDate
    Feb-13
  • Firstpage
    160
  • Lastpage
    171
  • Abstract
    We consider the uplink (UL) and downlink (DL) of non-cooperative multi-cellular time-division duplexing (TDD) systems, assuming that the number N of antennas per base station (BS) and the number K of user terminals (UTs) per cell are large. Our system model accounts for channel estimation, pilot contamination, and an arbitrary path loss and antenna correlation for each link. We derive approximations of achievable rates with several linear precoders and detectors which are proven to be asymptotically tight, but accurate for realistic system dimensions, as shown by simulations. It is known from previous work assuming uncorrelated channels, that as N→∞ while K is fixed, the system performance is limited by pilot contamination, the simplest precoders/detectors, i.e., eigenbeamforming (BF) and matched filter (MF), are optimal, and the transmit power can be made arbitrarily small. We analyze to which extent these conclusions hold in the more realistic setting where N is not extremely large compared to K. In particular, we derive how many antennas per UT are needed to achieve η% of the ultimate performance limit with infinitely many antennas and how many more antennas are needed with MF and BF to achieve the performance of minimum mean-square error (MMSE) detection and regularized zero-forcing (RZF), respectively.
  • Keywords
    MIMO communication; antenna arrays; array signal processing; cellular radio; channel estimation; eigenvalues and eigenfunctions; matched filters; precoding; time division multiplexing; antenna correlation; arbitrary path loss; cellular network; channel estimation; eigenbeamforming; linear precoder; massive MIMO; matched filter; minimum mean square error detection; noncooperative multicellular time-division duplexing systems; pilot contamination; regularized zero-forcing; Antenna arrays; Detectors; Interference; Signal to noise ratio; Uplink; Vectors; channel estimation; large random matrix theory; large system analysis; linear detection; linear precoding; massive MIMO; pilot contamination; time-division duplexing;
  • fLanguage
    English
  • Journal_Title
    Selected Areas in Communications, IEEE Journal on
  • Publisher
    ieee
  • ISSN
    0733-8716
  • Type

    jour

  • DOI
    10.1109/JSAC.2013.130205
  • Filename
    6415388