• DocumentCode
    2120164
  • Title

    Energy-optimal partial computation offloading using dynamic voltage scaling

  • Author

    Wang, Yanting ; Sheng, Min ; Wang, Xijun ; Wang, Liang ; Han, Weijia ; Zhang, Yan ; Shi, Yan

  • Author_Institution
    State Key Laboratory of Integrated Service Networks, Institute of Information Science, Xidian University, Xi´an, Shaanxi, 710071, China
  • fYear
    2015
  • fDate
    8-12 June 2015
  • Firstpage
    2695
  • Lastpage
    2700
  • Abstract
    The incorporation of dynamic voltage scaling (DVS) technology into computation offloading could further reduce energy consumption of smart mobile device (SMD), which has not been fully studied. In this paper, this issue is formulated with jointly considering computational speed of SMD, transmit power of SMD, and the partial offloading, resulting in a nonconvex problem. To circumvent such a problem, we firstly study the thresholding when the offloading decision could always obtain positive gain. Then to yield more gains from offloading, we propose an alternating algorithm, which converges to a locally optimal solution fast. Extensive simulations show that the proposed algorithm not only significantly reduces energy consumption but also ensures more stringent latency against the existing schemes.
  • Keywords
    Batteries; Conferences; Downlink; Energy consumption; Mobile communication; Uplink; Voltage control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Workshop (ICCW), 2015 IEEE International Conference on
  • Conference_Location
    London, United Kingdom
  • Type

    conf

  • DOI
    10.1109/ICCW.2015.7247586
  • Filename
    7247586