Power Minimization for Cooperative Wireless Powered Mobile Edge Computing Systems
Power Minimization for Cooperative Wireless Powered Mobile Edge Computing Systems
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DOI：
10.1109/icc.2018.8422459
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发表时间：
2018-07
期刊：
影响因子：
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通讯作者：
Xiaoyan Hu;Kai‐Kit Wong;Kun Yang
中科院分区：
文献类型：
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作者：
Xiaoyan Hu;Kai‐Kit Wong;Kun Yang
研究了无线供电移动边缘计算系统中两个近距离移动设备的节能联合无线电和计算资源分配问题。为了克服远端设备的双远近效应，考虑通过近端设备以中继形式进行协作通信以进行卸载。在计算任务约束下，将接入点（AP）总发射功率最小化问题等效为最小-最大问题，可采用两相法进行最优求解。数值结果表明，该方法不仅在性能上有显著提高，而且在处理计算密集型延迟关键任务（CILC）和抵抗双近远效应方面也具有一定的有效性。
This paper studies the power-efficient joint radio and computational resource allocation for two near-far mobile devices in a wireless powered mobile edge computing system. To overcome the double-near-far effect for the farther device, cooperative communications in the form of relaying via the nearer device is considered for offloading. The access point (AP)'s total transmit power minimization problem is formulated under the constraints of the computation tasks, which is equivalent to a min-max problem and can be optimally solved by a two-phase method. Numerical results not only show the significant performance improvement of the proposed scheme, but also demonstrate its effectiveness in handling computation-intensive latency-critical (CILC) tasks and resisting the double-near-far effect.