• DocumentCode
    148911
  • Title

    Liquid cell management for reducing energy consumption expenses in hybrid energy powered cellular networks

  • Author

    Heng Wang ; Hongjia Li ; Xin Chen ; Yifang Qin ; Lei Yang ; Song Ci ; Hui Tang

  • Author_Institution
    Sch. of Commun. Eng., Chongqing Univ., Chongqing, China
  • fYear
    2014
  • fDate
    6-9 April 2014
  • Firstpage
    1632
  • Lastpage
    1637
  • Abstract
    To reduce the fossil energy consumption and the operational expenses, the hybrid energy powered cellular network (HybENet) with BSs powered by on-grid or renewable energy is studied. To minimize the total expenses of energy consumption (EEC) and guarantee the quality of service of HybENet, a liquid cell management algorithm, which adaptively and cooperatively adjusts the service coverage of BSs according to the actual load, is proposed. Specifically, the problem of minimizing the total EEC under constraints of the fluctuating arrivals of the renewable energy and the QoS is formulated as a combinatorial optimization problem. Then, we prove that the problem can be decomposed into two sub-problems: 1) the mean of per-link energy minimization problem, from which the closed expression of power allocation is derived; 2) the traffic block assignment problem, which is solved by ant colony optimization. Simulation results show that the total EEC can be effectively reduced.
  • Keywords
    ant colony optimisation; cellular radio; combinatorial mathematics; energy conservation; energy consumption; fossil fuels; hybrid power systems; power grids; quality of service; renewable energy sources; resource allocation; telecommunication power management; telecommunication traffic; BS; EEC; HybENet; ant colony optimization; base station; combinatorial optimization problem; energy consumption expenses; fossil energy consumption; hybrid energy powered cellular networks; liquid cell management algorithm; per-link energy minimization problem; power allocation; quality of service; renewable energy; service coverage; traffic block assignment problem; Energy consumption; Energy harvesting; Mathematical model; Minimization; Optimization; Renewable energy sources; Solar energy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications and Networking Conference (WCNC), 2014 IEEE
  • Conference_Location
    Istanbul
  • Type

    conf

  • DOI
    10.1109/WCNC.2014.6952474
  • Filename
    6952474