• DocumentCode
    3276216
  • Title

    Data rate maximization by adaptive thresholding RF power management under renewable energy

  • Author

    Tang, Weiguo ; Wang, Lei

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Connecticut, Storrs, CT, USA
  • fYear
    2010
  • fDate
    3-6 Oct. 2010
  • Firstpage
    145
  • Lastpage
    150
  • Abstract
    A new adaptive thresholding power management (ATPM) scheme is proposed to maximize the data rate of RF circuits in distributed embedded systems powered by renewable energy. Considering time-varying fading channels and statistical energy harvesting processes, we propose to turn on RF circuits only when the channel gain is higher than a threshold, and adjust the RF power according to the energy availability to improve the overall data rate. Exploiting the fact that the optimal threshold is a function of variable renewable energy subject to environmental changes, we adaptively adjust the threshold in accordance with renewable energy to improve energy efficiency. Simulation results based on solar energy indicate that the proposed ATPM scheme increases the average data rate by up to 60% compared with the scheme without channel gain thresholding, and achieves over 5X improvement in data rate over the constant power scheme with the same RF power consumption.
  • Keywords
    embedded systems; energy harvesting; fading channels; power aware computing; renewable energy sources; time-varying channels; RF circuit; adaptive thresholding power management scheme; data rate maximization; distributed embedded system; energy efficiency; renewable energy; solar energy; statistical energy harvesting process; time-varying fading channel; Batteries; Energy harvesting; Power demand; Radio frequency; Renewable energy resources; Solar energy; Solar radiation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Design (ICCD), 2010 IEEE International Conference on
  • Conference_Location
    Amsterdam
  • ISSN
    1063-6404
  • Print_ISBN
    978-1-4244-8936-7
  • Type

    conf

  • DOI
    10.1109/ICCD.2010.5647812
  • Filename
    5647812