Journal on Communications ›› 2020, Vol. 41 ›› Issue (4): 34-44.doi: 10.11959/j.issn.1000-436x.2020081

• Topics: Key Technologies of Edge Computing • Previous Articles     Next Articles

Hierarchical task offloading in heterogeneous cellular network:modeling and optimization

Lindong ZHAO1,2,Wenqin ZHUANG1,2,Jianxin CHEN1,2,Liang ZHOU1,2   

  1. 1 National Engineering Research Center of Communication and Network Technology,Nanjing University of Posts and Telecommunications,Nanjing 210003,China
    2 Key Laboratory of Broadband Wireless Communication and Sensor Network Technology (Ministry of Education),Nanjing University of Posts and Telecommunications,Nanjing 210003,China
  • Revised:2020-03-16 Online:2020-04-25 Published:2020-04-30
  • Supported by:
    The National Natural Science Foundation of China(61571240);The National Natural Science Foundation of China(61671253);The Priority Academic Program Development of Jiangsu Higher Education Institutions

Abstract:

To improve the efficiency of computation offloading,a hierarchical task offloading framework based on device-to-device (D2D) communication,mobile edge computing and cloud computing was proposed,in which cooperative D2D relay technology was introduced to assist users to access remote computing resources.Considering the negative effects of uplink channel congestion,limited edge computing capability,D2D reuse interference and backhaul delay of cloud computing in the multi-user scenario of the proposed framework,a game theory based offloading scheduling and load balancing scheme was developed by fully taking advantage of the computing and communication resources in the proposed framework.The simulation results demonstrate that the proposed scheme can effectively reduce end-to-end delay and offloading energy consumption,and also has good stability even when the network resources are limited.

Key words: hierarchical task offloading, mobile edge computing, device-to-device communication, cloud computing, game theory

CLC Number: 

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