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Interference Analysis of Massive MIMO Downlink with MRT Precoding and Applications in Performance Analysis

  • Author / Creator
    Feng, Chi
  • Recently, massive MIMO (multiple-input-multiple-output) systems, where the base station (BS) is equipped with hundreds of small, low-cost, and low-power antennas, have been proposed as one of the promising technologies for the next generation cellular systems. The thesis works on the performance analysis of single-cell multi-user massive MIMO downlink. Perfect channel state information (CSI) is assumed at the BS and maximum ratio transmission (MRT) precoding scheme is adopted. We first investigate the distribution of the interference power and derive its probability density function (pdf) by central limit theory. After that, analytical results on the outage probability and the sum-rate are derived. Different to existing work using the law of large numbers to derive the asymptotic deterministic signal-to-interference-plus-noise-ratio (SINR), the randomness of the interference in the SINR is kept intact in our work, which allows the derivation of the outage probability. We further extend to networks with per-antenna power constraint. A modified MRT precoding scheme is proposed and the performance of the modified scheme is analyzed. Our work show that the modified MRT precoding can achieve lower outage probability and higher sum-rate than MRT precoding, even with more strict power constraint.

  • Subjects / Keywords
  • Graduation date
    2016-06
  • Type of Item
    Thesis
  • Degree
    Master of Science
  • DOI
    https://doi.org/10.7939/R3WW77731
  • License
    This thesis is made available by the University of Alberta Libraries with permission of the copyright owner solely for non-commercial purposes. This thesis, or any portion thereof, may not otherwise be copied or reproduced without the written consent of the copyright owner, except to the extent permitted by Canadian copyright law.
  • Language
    English
  • Institution
    University of Alberta
  • Degree level
    Master's
  • Department
    • Department of Electrical and Computer Engineering
  • Specialization
    • Communications
  • Supervisor / co-supervisor and their department(s)
    • Jing, Yindi (Electrical and Computer Engineering)
  • Examining committee members and their departments
    • Ardakani, Masoud (Electrical and Computer Engineering)
    • Liang, Hao (Electrical and Computer Engineering)