Multi-Objective Optimization for Joint Communication and Computing Resource Allocation in NOMA-Based MEC System

For mobile devices with limited computing capabilities, offloading time-sensitive tasks to edge servers is a feasible approach in reducing energy consumption and computation time of tasks. In this paper, non-orthogonal multiple access (NOMA) technology is used to enable communication between mobile devices and SBSs. To minimize total offloading time and energy consumption of mobile devices, a joint allocation problem of communication and computing resources is proposed while satisfying the constraints on the maximum computation time of the task. In the multi-cell mobile edge computing (MEC) system, we consider interference from different cells on the same sub-channel. For task offloading, we consider simultaneously offloading tasks to different servers. To solve an allocation problem on communication and computing resource, we propose the MOEAD-Epsilon algorithm based on dynamic resource allocation (DRA-MOEAD-Epsilon). Simulation results verify the validity of DRA-MOEAD-Epsilon and demonstrate that it effectively improves the offloading benefits for mobile devices.