User Pairing and Optimal energy comsumption for Mobile Edge Computing with NOMA

• 1、School of Information and Communication Engineering, Beijing University of Post and Telecommunication,Beijing 100876

Abstract：In recent years, Non-Orthogonal Multiple Access (NOMA) has been widely studied because it can increase the number of system access, improve the throughput of the system and reduce the power consumption of users. Mobile Edge Computing (MEC) can reduce the energy consumption caused by users in computing by deploying high-performance computing servers at the edge of the network to calculate the tasks transmitted from mobile devices.Since mobile devices are energy-constrained devices, in order to maximize the service life of mobile devices, this paper studies the MEC network with NOMA as multiple access mode and proposes a grouping scheme based on greedy algorithm to solve the user grouping problem in NOMA-MEC systemIn the case of complete group, the relationship between user energy consumption and offloading ratio is analyzed for users in a single group. In order to reduce the energy consumption of users, an iteratedlocal search algorithm is proposed for power distribution problem and numerical simulation verifies the effectiveness of the proposed algorithm.

Keywords： wireless communication non-orthogonal multiple access Mobile Edge Computing offloading decision