• DocumentCode
    266328
  • Title

    Data offloading with renewable energy powered base station connected to a microgrid

  • Author

    Yeow-Khiang Chia ; Chin Keong Ho ; Sumei Sun

  • Author_Institution
    Inst. for Infocomm Res., A*STAR, Singapore, Singapore
  • fYear
    2014
  • fDate
    8-12 Dec. 2014
  • Firstpage
    2721
  • Lastpage
    2726
  • Abstract
    This paper proposes a general model for offloading to an access point (AP) to minimize energy cost in a heterogeneous network with a renewable-energy powered base station (BS) that is connected to a microgrid. We consider the setting where both the BS and the AP can buy energy from the grid to satisfy their requirements, but the BS can sell back any excess renewable energy to the grid. The downlink scenario is considered whereby the BS and the AP cooperate to serve a set of users, and the problem is to determine the user assignment to the BS or the AP. In the specific case of time division multiple access, we show that the optimal user assignment problem is NP Hard. We propose a sub-optimal, low complexity algorithm for this setting and obtain an approximation guarantee to the worst case sub-optimality of our algorithm. Simulations show that our algorithm performs well, with only a small gap to the optimal exhaustive search method over the set of users.
  • Keywords
    approximation theory; computational complexity; distributed power generation; search problems; NP-hard problem; access point; approximation guarantee; data offloading; heterogeneous network; low complexity algorithm; microgrid; optimal exhaustive search method; optimal user assignment problem; renewable energy powered base station; suboptimal algorithm; Approximation algorithms; Approximation methods; Microgrids; Polynomials; Renewable energy sources; Time division multiple access;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Communications Conference (GLOBECOM), 2014 IEEE
  • Conference_Location
    Austin, TX
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2014.7037219
  • Filename
    7037219