• DocumentCode
    3603992
  • Title

    Performance Analysis of Massive MIMO for Cell-Boundary Users

  • Author

    Yeon-Geun Lim ; Chan-Byoung Chae ; Caire, Giuseppe

  • Author_Institution
    Sch. of Integrated Technol., Yonsei Univ., Seoul, South Korea
  • Volume
    14
  • Issue
    12
  • fYear
    2015
  • Firstpage
    6827
  • Lastpage
    6842
  • Abstract
    In this paper, we consider massive multiple-input-multiple-output systems for both downlink and uplink scenarios, where three radio units connected via one digital unit support multiple user equipments at the cell-boundary through the same radio resource, i.e., the same time-frequency slot. For downlink transmitter options, the study considers zero forcing (ZF) and maximum ratio transmission (MRT), whereas for uplink receiver options, it considers ZF and maximum ratio combining (MRC). For the sum rate of each of these, we derive simple closed-form formulas. In the simple but practically relevant case where uniform power is allocated to all downlink data streams, we observe that, for the downlink, vector normalization is better for ZF whereas matrix normalization is better for MRT. For a given antenna and user configuration, we also analytically derive the signal-to-noise-ratio level below which MRC should be used instead of ZF. Numerical simulations confirm our analytical results.
  • Keywords
    MIMO communication; cellular radio; diversity reception; matrix algebra; numerical analysis; radio receivers; radio transmitters; receiving antennas; time-frequency analysis; transmitting antennas; cell-boundary user; digital unit support multiple user equipment; downlink data stream allocation; downlink scenario; downlink transmitter antenna; massive MIMO performance analysis; massive multiple-input-multiple-output system; matrix normalization; maximum ratio combining; maximum ratio transmission; numerical simulation; radio unit; signal-to-noise-ratio level; time-frequency slot; uplink receiver; uplink scenario; vector normalization; zero forcing; Antennas; Approximation methods; Downlink; Interference; MIMO; Signal to noise ratio; Uplink; Massive MIMO; cell-boundary users; combining filter; ergodic achievable rate; matched filter; normalization; precoding; precoding, and combining filter; zero-forcing;
  • fLanguage
    English
  • Journal_Title
    Wireless Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1536-1276
  • Type

    jour

  • DOI
    10.1109/TWC.2015.2460751
  • Filename
    7166320