• DocumentCode
    3605318
  • Title

    Energy and Spectral Efficiency of Leakage-Based Precoding for Large-Scale MU-MIMO Systems

  • Author

    Tuong Xuan Tran ; Kah Chan Teh

  • Author_Institution
    Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore
  • Volume
    19
  • Issue
    11
  • fYear
    2015
  • Firstpage
    2041
  • Lastpage
    2044
  • Abstract
    We study the capacity performance of signal-to-leakage-and-noise ratio precoding scheme (SLNR-PS) for large-scale multiuser multiple-input multiple-output systems. We derive capacity bounds of SLNR-PS when the number of base station antennas N is large. A trade-off between energy efficiency (EE) and spectral efficiency (SE) is defined for the case of equal power allocation. Based on this trade-off, the closed-form expressions of optimal SE and optimal number of BS antennas for maximizing EE are derived, respectively. In addition, we consider the EE optimization problem under both maximum transmit power and quality of service constraints. The energy-efficient power allocation scheme is obtained to solve this optimization problem. Numerical simulations verify the benefits of the proposed scheme.
  • Keywords
    MIMO communication; antenna arrays; energy conservation; multiuser channels; numerical analysis; optimisation; precoding; quality of service; telecommunication power management; base station antennas; capacity bounds; capacity performance; energy efficiency; large-scale MU-MIMO systems; large-scale multiuser multiple-input multiple-output systems; leakage-based precoding; numerical simulations; optimization problem; power allocation; quality of service constraints; signal-to-leakage-and-noise ratio; spectral efficiency; Antennas; Optimization; Power demand; Quality of service; Resource management; Signal to noise ratio; Massive MIMO system; SLNR-based scheme;
  • fLanguage
    English
  • Journal_Title
    Communications Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1089-7798
  • Type

    jour

  • DOI
    10.1109/LCOMM.2015.2475757
  • Filename
    7236884