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The partial computation offloading strategy based on game theory for multi-user in mobile edge computing environment

机译:基于博弈论的多用户在移动边缘计算环境中的部分计算卸载策略

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摘要

Mobile edge computing provides powerful computing for mobile device users to broaden their computation capability. However, due to the limited bandwidth of the wireless channel, both the energy consumption for mobile device's computation offloading and the service latency maybe increase. In this paper, we focus on the partial computation offloading problem for multi-user in mobile edge computing environment with multi-wireless channel. The computation overhead model is built based on game theory. Then, the existence of Nash equilibrium is proven. Furthermore, the partial computation offloading algorithm with low time complexity is given to achieve the Nash equilibrium. In addition, another partial computation task offloading mechanism for mobile device users, who has enough energy and only pay attention to the computation time overhead, is given to reduce the computation overhead. Finally, extensively numerical experiments are conducted. The experimental results show that our proposed algorithm can achieve better performance than the compared algorithms in the mobile edge computing environment.
机译:移动边缘计算为移动设备用户提供了强大的计算机,以扩大其计算能力。然而,由于无线信道的带宽有限,移动设备计算卸载的能耗和服务延迟可能增加。在本文中,我们专注于具有多无线信道的移动边缘计算环境中的多用户的部分计算卸载问题。基于游戏理论构建计算架空模型。然后,证明了纳什均衡的存在。此外,给出了具有低时间复杂度的部分计算卸载算法来实现纳什均衡。另外,给出了用于移动设备用户的另一部分计算任务卸载机制,其具有足够的能量并且仅注意计算时间开销,以减少计算开销。最后,进行了广泛的数值实验。实验结果表明,我们所提出的算法可以实现比移动边缘计算环境中的比较算法更好的性能。

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