Non-orthogonal multiple access (NOMA) and mobile edge computing (MEC) have been recognized as promising technologies for the beyond fifth generation networks to achieve significant capacity improvement and delay reduction. In this paper, the technologies of hybrid NOMA and MEC are integrated. In the hybrid NOMA MEC system, multiple users are classified into different groups and each group is allocated a dedicated time slot. In each group, a user first offloads its task by sharing a time slot with another user, and then solely offloads during a time interval. To reduce the delay and save the energy consumption, we consider jointly optimizing the power and time allocation in each group as well as the user grouping. As the main contribution, the optimal power and time allocation is characterized in closed form. In addition, by incorporating the matching algorithm with the optimal power and time allocation, we propose a low complexity method to efficiently optimize user grouping. Simulation results demonstrate that the proposed resource allocation method in the hybrid NOMA MEC systems not only yields better performance than the conventional OMA scheme but also achieves quite close performance as global optimal solution.

中文翻译：

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混合 NOMA MEC 卸载的资源分配

非正交多址（NOMA）和移动边缘计算（MEC）已被公认为是第五代以上网络实现显着容量提升和延迟降低的有前途的技术。本文综合了混合NOMA和MEC的技术。在混合 NOMA MEC 系统中，多个用户被分为不同的组，每个组被分配一个专用的时隙。在每个组中，用户首先通过与另一个用户共享一个时间段来卸载其任务，然后在一个时间间隔内单独卸载。为了减少延迟和节省能源消耗，我们考虑联合优化每个组中的功率和时间分配以及用户分组。作为主要贡献，最优功率和时间分配具有封闭形式。此外，通过将匹配算法与最佳功率和时间分配相结合，我们提出了一种低复杂度的方法来有效地优化用户分组。仿真结果表明，所提出的混合 NOMA MEC 系统中的资源分配方法不仅比传统的 OMA 方案产生更好的性能，而且实现了与全局最优解相当接近的性能。