期刊
IET COMMUNICATIONS
卷 13, 期 8, 页码 1122-1130出版社
INST ENGINEERING TECHNOLOGY-IET
DOI: 10.1049/iet-com.2018.5934
关键词
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资金
- National Natural Science Foundation of China [61501042]
- Beijing Nova Program [Z151100000315078]
- National High Technology Research and Development Program (863) of China [2015AA016101]
- National Science and Technology Major Project of the Ministry of Science and Technology of China
Computation offloading has been considered as one of the key research issues in edge computing fields. In order to reduce the energy consumption of the mobile terminal, the energy efficiency issue of computation offloading has attracted a lot of attention from academia and industry. In this study, the authors propose an energy-efficient computation offloading scheme in 5G cellular networks with edge computing and device-to-device (D2D) communications. They consider the computation offloading to fog computing devices via D2D communications and mobile edge computing (MEC) servers via cellular networks. And thus the computation task execution model can be composed of local execution, fog computing device execution and MEC server execution. Then, they formulate the computation offloading issue as stochastic optimisation problem, and use the Lyapunov optimisation technology framework to solve this problem. Finally, extensive simulation results are presented to illustrate the effectiveness of the proposed scheme.
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