Decentralized Computation Offloading in Mobile Edge Computing Empowered Small-Cell Networks
Decentralized Computation Offloading in Mobile Edge Computing Empowered Small-Cell Networks
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DOI：
10.1109/glocomw.2017.8269049
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发表时间：
2017-12
期刊：
影响因子：
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通讯作者：
Jun Guo;Heli Zhang;Lichao Yang;Hong Ji;Xi Li
中科院分区：
文献类型：
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作者：
Jun Guo;Heli Zhang;Lichao Yang;Hong Ji;Xi Li
Mobile edge computing (MEC) is a key technology to provide cloud-computing capability in close proximity to mobile devices at the edge of networks. In this paper, we propose a distributed computation offloading strategy for small- cell networks integrated with MEC. Firstly, we formulate a distributed computation offloading problem, where we minimize the overhead of each mobile device. Secondly, in order to satisfy the interests requirements of different small cells and analyze the interactions among multiple small cells, we reformulate the proposed problem as a potential game and prove it can achieve the Nash equilibrium(NE). Then, we design a potential game based offloading algorithm to lower the overhead of the system, which jointly optimizes energy consumption and latency of each mobile device. In addition, the lower bound of the iteration times is also derived. Finally, simulation results corroborate that the proposed algorithm can effectively minimize the overhead of each mobile device compared with different other existing algorithms.
