• DocumentCode
    616433
  • Title

    Green-oriented opportunistic cooperation in relay-based cellular networks with grid-connected photovoltaic power generators

  • Author

    Shi-Yong Lee ; Min-Kuan Chang ; De-Nian Yang

  • Author_Institution
    Res. Center for Inf. Technol. Innovation, Acad. Sinica, Taipei, Taiwan
  • fYear
    2013
  • fDate
    7-10 April 2013
  • Firstpage
    3811
  • Lastpage
    3816
  • Abstract
    The grid-connected photovoltaic (PV) power generator has been demonstrated as a promising solution of hybrid energy to leverage instantaneous renewable energy generation for reducing the energy acquired from electrical grid. In light of this technology trend and opportunity, this paper takes an initial attempt to explore the relay selection and power allocation for green cooperative cellular networks with grid-connected PV power generators. By properly considering the distributions of PV power, we propose an opportunistic relay selection scheme to minimize the grid power consumption. We also analyze the performance on the expected total grid power consumption in the whole network and derive a corresponding upper bound. The simulation results demonstrate that more than 53% of grid power can be saved by the exploitation of PV power with the proposed scheme.
  • Keywords
    cellular radio; cooperative communication; photovoltaic power systems; power grids; relay networks (telecommunication); resource allocation; green-oriented opportunistic cooperation; grid connected photovoltaic power generators; grid power consumption; hybrid energy; instantaneous renewable energy generation; opportunistic relay selection scheme; power allocation; relay based cellular networks; Generators; Power demand; Power generation; Relays; Renewable energy sources; Signal to noise ratio; Upper bound;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications and Networking Conference (WCNC), 2013 IEEE
  • Conference_Location
    Shanghai
  • ISSN
    1525-3511
  • Print_ISBN
    978-1-4673-5938-2
  • Electronic_ISBN
    1525-3511
  • Type

    conf

  • DOI
    10.1109/WCNC.2013.6555182
  • Filename
    6555182