Energy Consumption Optimization Scheme for UAV- Assisted NOMA-MEC Systems

The integration of Non-Orthogonal Multiple Access (NOMA) technology with Mobile Edge Computing (MEC), supported by UAVs, has emerged as a cutting-edge solution for enhancing uplink task offloading transmission performance. In this paper, we propose an optimized Successive Interference Cancellation (SIC) order that takes into account both channel gain and the urgency of offloading tasks, aiming to further minimize system energy consumption while satisfying task delay constraints. Given that this problem is a complex non-convex optimization challenge, we employ a Successive Convex Approximation (SCA) algorithm to alternately optimize two subproblems, progressively approaching the optimal solution. Simulation results demonstrate that the proposed scheme can significantly reduce system energy consumption.