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Multi-User Computation Offloading in Mobile Edge Computing: A Behavioral Perspective
IEEE NETWORK ( IF 9.3 ) Pub Date : 2018-01-26 , DOI: 10.1109/mnet.2018.1700119
Ling Tang , Shibo He

By providing cloud computing capabilities at the network edge in proximity of mobile device users, mobile edge computing offers an effective solution to help mobile devices with computation- intensive and delay-sensitive tasks. In this article, we investigate the multi-user computation offloading problem in an uncertain wireless environment. Most of the existing works assume that mobile device users are rational and make offloading decisions to maximize their expected objective utilities. However, in practice, users tend to have subjective perceptions under uncertainty, such that their behavior deviates considerably from the conventional rationality assumption. Drawing on the framework of prospect theory (PT), we formulate users' decision making of whether to offload or not as a PT-based non-cooperative game. We propose a distributed computation offloading algorithm to achieve the Nash equilibrium of the game. Numerical results assess the impact of mobile device users' behavioral biases on offloading decision making.

中文翻译:

移动边缘计算中的多用户计算分流:行为视角

通过在移动设备用户附近的网络边缘提供云计算功能,移动边缘计算提供了一种有效的解决方案,可帮助移动设备完成计算密集型和时延敏感的任务。在本文中,我们研究了不确定无线环境中的多用户计算卸载问题。现有的大多数工作都假设移动设备用户是理性的,并做出卸载决策以最大化其预期的目标效用。然而,在实践中,用户在不确定性下倾向于具有主观感觉,因此他们的行为与常规的合理性假设有很大的出入。基于前景理论(PT)的框架,我们将用户是否卸载的决策制定为基于PT的非合作博弈。我们提出了一种分布式计算卸载算法,以实现游戏的纳什均衡。数值结果评估了移动设备用户的行为偏见对卸载决策的影响。
更新日期:2018-01-30
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