• DocumentCode
    3253258
  • Title

    Base station energy cooperation in green cellular networks

  • Author

    Zheng Guo ; Teng Joon Lim ; Motani, Mehul

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore, Singapore
  • fYear
    2013
  • fDate
    3-5 Dec. 2013
  • Firstpage
    349
  • Lastpage
    352
  • Abstract
    This paper focuses on a network of renewable-energy-powered base stations where energy can be transferred across the network through power lines or wireless transfer. Specifically, we study a two-cell system with different numbers of cell users, and determine the direction and quantum of energy to transfer to maximize the sum-rate over all users when the energy transfer efficiency is η ∈ [0, 1]. We formulate this general problem under an FDMA configuration and solve it by a bisection search over the amount of energy to transfer ζ, where for each value of ζ a water-filling procedure is used to find the optimal power and bandwidth allocation. Both equal and optimal bandwidth allocation are considered, and the corresponding performance curves are plotted. A simple naïve approach is also proposed in which equal power and bandwidth allocation are used in each cell, and available energy per user in both cells is equalized through power transfer. Simulations show that the naïve approach performs reasonably well if η is high and channel gains are similar for all users.
  • Keywords
    bandwidth allocation; cellular radio; environmental factors; frequency division multiple access; wireless channels; FDMA configuration; base station energy cooperation; energy transfer efficiency; green cellular network; optimal bandwidth allocation; optimal power allocation; power line; renewable- energy-powered base station network; two-cell system; water-filling procedure; wireless channel transfer; Bandwidth; Base stations; Channel allocation; Electrostatic discharges; Energy exchange; Niobium; Resource management; Green cellular networks; base station energy cooperation; quality of service;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Conference on Signal and Information Processing (GlobalSIP), 2013 IEEE
  • Conference_Location
    Austin, TX
  • Type

    conf

  • DOI
    10.1109/GlobalSIP.2013.6736887
  • Filename
    6736887