论文标题
具有时间敏感约束的移动边缘计算网络的能源最小化
Energy Minimization for Mobile Edge Computing Networks with Time-Sensitive Constraints
论文作者
论文摘要
移动边缘计算（MEC）通过将服务器与最终用户接近的丰富服务放置，为用户提供了高质量的体验（QOE）。与本地计算相比，MEC可以有助于节能，但会导致沟通潜伏期的增加。在本文中，我们共同优化任务卸载和资源分配，以最大程度地减少基于基于DMA的MEC网络的正交频部多访问（OFDMA）中的能源消耗，在该网络中可以通过部分卸载在本地用户和MEC服务器上处理时间敏感的任务。由于该问题的优化变量是强烈耦合的，因此我们首先将原始问题分解为两个称为卸载选择（PO）的子问题（PO），以及子载体和计算资源分配（PS），然后提出迭代算法以按序列处理它们。具体而言，我们为PO得出了封闭形式的解决方案，并通过双重域的NP硬度来处理PS。模拟结果证明了
Mobile edge computing (MEC) provides users with a high quality experience (QoE) by placing servers with rich services close to the end users. Compared with local computing, MEC can contribute to energy saving, but results in increased communication latency. In this paper, we jointly optimize task offloading and resource allocation to minimize the energy consumption in an orthogonal frequency division multiple access (OFDMA)-based MEC networks, where the time-sensitive tasks can be processed at both local users and MEC server via partial offloading. Since the optimization variables of the problem are strongly coupled, we first decompose the original problem into two subproblems named as offloading selection (PO), and subcarriers and computing resource allocation (PS), and then propose an iterative algorithm to deal with them in a sequence. To be specific, we derive the closed-form solution for PO, and deal with PS by an alternating way in the dual domain due to its NP-hardness. Simulation results demonstrate
