A Max-Min Task Offloading Algorithm for Mobile Edge Computing Using Non-Orthogonal Multiple Access

Abstract

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