Computer Science ›› 2020, Vol. 47 ›› Issue (11A): 286-290.doi: 10.11896/jsjkx.200200028

• Computer Network • Previous Articles     Next Articles

5G Network-oriented Mobile Edge Computation Offloading Strategy

TIAN Xian-zhong, YAO Chao, ZHAO Chen, DING Jun   

  1. College of Computer Science and Technology,Zhejiang University of Technology,Hangzhou 310023,China
  • Online:2020-11-15 Published:2020-11-17
  • About author:TIAN Xian-zhong,born in 1968,Ph.D,professor,is a member of China Computer Federation.His main research interests include energy harvesting wireless sensor network,network coding,mobile edge computing and optimization protocol in wireless sensor networks.
  • Supported by:
    This work was supported by the National Natural Science Foundation of China (61672465,61772472) and Natural Science Foundation of Zhejiang Province,China (LY15F020027,LY17F020020).

Abstract: Mobile edge computing (MEC) technology is one of the important research directions of current wireless sensor networks.MEC technology can offload local computing tasks of wireless sensor devices to the edge cloud server for computing,thereby greatly improve the computing capacity of wireless sensor networks.However,a large number of devices in the wireless network perform computation offload at the same time,which will cause signal interference and excessive computational load on the edge cloud server.First,in order to improve the computation quality of wireless networks,a reasonable time allocation and computation offloading strategy for minimizing the computing time period of a MEC system with multiple wireless sensor devices is proposed,and 5G non-orthogonal multiple access and successive interference cancellation technology enables multiple wireless devices to perform computation offloading at the same time using the same subcarrier,there by improving the efficiency of computation offloading.Then the related models of wireless device energy harvesting and task computing are established,which are modeled as an optimization problem according to the above models and strategies,and the problem is solved.Finally,the effectiveness of the proposed strategy is verified by numerical analysis experiments.

Key words: Computation offloading, Mobile edge computing, Non-orthogonal multiple access, Radio frequency energy harvesting, Serial interference cancellation

CLC Number: 

  • TN929.5
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