To mitigate computational power gap between the network core and edges, mobile edge computing (MEC) is poised to play a fundamental role in future generations of wireless networks. In this letter, we consider a non-orthogonal multiple access (NOMA) transmission model to maximize the worst task to be offloaded among all users to the network edge server. A provably convergent and efficient algorithm is developed to solve the considered non-convex optimization problem for maximizing the minimum number of offloaded bits in a multi-user NOMAMEC system. Compared to the approach of optimized orthogonal multiple access (OMA), for given MEC delay, power and energy limits, the NOMA-based system considerably outperforms its OMA-based counterpart in MEC settings. Numerical results demonstrate that the proposed algorithm for NOMA-based MEC is particularly useful for delay sensitive applications.

翻译：为缓解网络核心与边缘之间的计算能力差距，移动边缘计算将在未来无线网络中发挥基础性作用。本文考虑采用非正交多址传输模型，以最大化所有用户中卸载至网络边缘服务器的最差任务性能。针对多用户NOMA-MEC系统中最大化卸载比特数最小值的非凸优化问题，本文提出了一种可证明收敛且高效的算法。与优化的正交多址方案相比，在给定MEC延迟、功率和能量限制条件下，基于NOMA的系统在MEC场景中显著优于基于OMA的方案。数值结果表明，本文提出的基于NOMA的MEC算法尤其适用于延迟敏感型应用。