Fair Computation Efficiency Scheduling in NOMA-Aided Mobile Edge Computing

Mobile edge computing (MEC) is considered to be a promising paradigm to enable the new generation of wireless networks. Meanwhile, inspired by the great potential of non-orthogonal multiple access (NOMA) technique to improve the spectrum efficiency, this letter jointly considers these two technologies and studies a partial computation offloading scheme. Specifically, uplink NOMA is used in MEC where multiple mobile devices (MDs) partially offload their computing tasks to MEC server on the same time-frequency resource block, distinguishing in the power domain. We formulate a max-min computation efficiency (MMCE) problem to achieve the fair CE among MDs. To solve this non-convex problem, a heuristic search algorithm is adopted to obtain the optimal policy, including uplink transmit power allocation policy and local computing resource allocation policy. Simulation results show the superiority of the proposed scheme by contrast with several baseline schemes.