Exploiting the idle computation resources of mobile devices in mobile edge computing (MEC) system can achieve both channel diversity and computing diversity as mobile devices can offload their computation tasks to nearby mobile devices in addition to MEC server embedded access point (AP). In this paper, we propose a non-orthogonal multiple-access (NOMA)-aided cooperative computing scheme in a basic three-node MEC system consisting of a user, a helper, and an AP. In particular, we assume that the user can simultaneously offload data to the helper and the AP using NOMA, while the helper can locally compute data and offload data to the AP at the same time. We study two optimization problems, energy consumption minimization and offloading data maximization, by joint communication and computation resource allocation of the user and helper. We find the optimal solutions for the two non-convex problems by some proper mathematical methods. Simulation results are presented to demonstrate the effectiveness of the proposed schemes. Some useful insights are provided for practical designs.

中文翻译：

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通过用户合作，NOMA 辅助移动边缘计算

在移动边缘计算 (MEC) 系统中利用移动设备的空闲计算资源可以实现信道分集和计算分集，因为除了 MEC 服务器嵌入式接入点 (AP) 之外，移动设备还可以将其计算任务卸载到附近的移动设备。在本文中，我们在由用户、助手和 AP 组成的基本三节点 MEC 系统中提出了一种非正交多址 (NOMA) 辅助的协作计算方案。特别地，我们假设用户可以使用 NOMA 同时将数据卸载到 Helper 和 AP，而 Helper 可以在本地计算数据并同时将数据卸载到 AP。我们通过用户和助手的联合通信和计算资源分配来研究两个优化问题，能耗最小化和卸载数据最大化。我们通过一些适当的数学方法找到了两个非凸问题的最优解。仿真结果展示了所提出方案的有效性。为实际设计提供了一些有用的见解。