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
Link To Document :
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