• DocumentCode
    1774993
  • Title

    Joint power allocation and antenna selection for energy-efficient OFDM D-MIMO systems

  • Author

    Bo Hu ; Qiang Sun ; Jue Wang ; Chen Xu

  • Author_Institution
    Sch. of Electron. & Inf. Eng., Nantong Univ., Nantong, China
  • fYear
    2014
  • fDate
    23-25 Oct. 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In this paper, we propose a joint power allocation and antenna selection scheme for orthogonal-frequency-division-multiplexing (OFDM) distributed multiple-input multiple-output (D-MIMO) systems. Our aim is to increase energy efficiency (EE), under the constraint of transmission power of each remote access unit (RAU). Because of the multi-objective and non-convex nature of the problem, obtaining the optimal solution is computationally complex. Therefore, a low-complexity suboptimal scheme is proposed. We first convert the multi-objective problem to a simpler single objective optimization problem. Then, we develop a sub-gradient power allocation algorithm, which improves EE than equal power allocation. To further increase EE, we adopt an antenna selection method based on large scale fading. Simulation results demonstrate that, compared with the conventional approaches, joint power allocation and antenna selection scheme significantly improves the EE.
  • Keywords
    MIMO communication; OFDM modulation; antennas; gradient methods; telecommunication power management; RAU; antenna selection method; antenna selection scheme; distributed multiple-input multiple-output systems; energy efficient OFDM D-MIMO systems; joint power allocation; multiobjective problem; orthogonal-frequency-division-multiplexing; remote access unit; single objective optimization problem; subgradient power allocation algorithm; transmission power constraint; Antennas; Fading; Joints; MIMO; OFDM; Optimization; Resource management; Antenna selection; OFDM; distributed MIMO; energy efficiency; power allocation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications and Signal Processing (WCSP), 2014 Sixth International Conference on
  • Conference_Location
    Hefei
  • Type

    conf

  • DOI
    10.1109/WCSP.2014.6992152
  • Filename
    6992152