• DocumentCode
    257611
  • Title

    Energy-efficient configuration of antennas and users in the downlink MIMO system

  • Author

    Yue Ning ; Jiancun Fan ; Jianguo Deng ; Zhikun Xu

  • Author_Institution
    Sch. of Electron. & Inf. Eng., Xi´an Jiaotong Univ., Xi´an, China
  • fYear
    2014
  • fDate
    3-5 Dec. 2014
  • Firstpage
    93
  • Lastpage
    97
  • Abstract
    In this paper, we investigate the relationship of base station (BS) antennas and supportable users in the downlink multi-cell multi-user MIMO system to maximize system energy efficiency (EE). In order to study their relationship, we first analyze the channel capacity and derive the EE formula by considering a realistic power consumption model (PCM). Then we build an energy-efficient optimization model with respect to the number Nt of BS antennas and the number K of users. Due to the high optimization complexity, we derive an approximation of channel capacity to simplify the EE optimization. Based on the simplified optimization model, we propose a low-complexity optimization algorithm to obtain the optimum Nt and K. The simulation results suggest that the proposed algorithm can obtain the optimal configuration of BS antennas and supportable users and each user needs only about 2 BS antennas to maximize the EE with zero-forcing (ZF) precoding.
  • Keywords
    MIMO communication; cellular radio; multi-access systems; telecommunication power management; base station antennas; downlink MIMO system; energy efficient antenna configuration; energy efficient optimization model; energy efficient user configuration; low complexity optimization algorithm; multicell system; multiuser system; realistic power consumption model; zero forcing precoding; Algorithm design and analysis; Antennas; Approximation methods; MIMO; Optimization; Power demand; Signal processing algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal and Information Processing (GlobalSIP), 2014 IEEE Global Conference on
  • Conference_Location
    Atlanta, GA
  • Type

    conf

  • DOI
    10.1109/GlobalSIP.2014.7032085
  • Filename
    7032085