• DocumentCode
    107407
  • Title

    Resource Allocation for Joint Transmitter and Receiver Energy Efficiency Maximization in Downlink OFDMA Systems

  • Author

    Qingqing Wu ; Wen Chen ; Meixia Tao ; Jun Li ; Hongying Tang ; Jinsong Wu

  • Author_Institution
    Dept. of Electron. Eng., Shanghai Jiao Tong Univ., Shanghai, China
  • Volume
    63
  • Issue
    2
  • fYear
    2015
  • fDate
    Feb. 2015
  • Firstpage
    416
  • Lastpage
    430
  • Abstract
    This paper investigates the joint transmitter and receiver optimization for the energy efficiency (EE) in orthogonal frequency-division multiple-access (OFDMA) systems. We first establish a holistic power dissipation model for OFDMA systems, including the transmission power, signal processing power, and circuit power from both the transmitter and receiver sides, while existing works only consider the one side power consumption and also fail to capture the impact of subcarriers and users on the system EE. The EE maximization problem is formulated as a combinatorial fractional problem that is NP-hard. To make it tractable, we transform the problem of fractional form into a subtractive-form one by using the Dinkelbach transformation and then propose a joint optimization method, which leads to the asymptotically optimal solution. To reduce the computational complexity, we decompose the joint optimization into two consecutive steps, where the key idea lies in exploring the inherent fractional structure of the introduced individual EE and the system EE. In addition, we provide a sufficient condition under which our proposed two-step method is optimal. Numerical results demonstrate the effectiveness of proposed methods, and the effect of imperfect channel state information is also characterized.
  • Keywords
    OFDM modulation; frequency division multiple access; optimisation; radio receivers; radio transmitters; resource allocation; telecommunication power management; Dinkelbach transformation; EE maximization problem; circuit power; combinatorial fractional problem; downlink OFDMA systems; energy efficiency; holistic power dissipation model; imperfect channel state information; inherent fractional structure; joint optimization method; joint transmitter and receiver optimization; orthogonal frequency-division multiple-access systems; power consumption; resource allocation; signal processing power; transmission power; Joints; Optimization; Power demand; Receivers; Resource management; Signal processing; Transmitters; Energy efficiency; OFDMA; joint transmitter and receiver optimization; resource allocation;
  • fLanguage
    English
  • Journal_Title
    Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0090-6778
  • Type

    jour

  • DOI
    10.1109/TCOMM.2014.2385705
  • Filename
    6995966