Fair Computation Offloading for a Multi-Antenna NOMA Aided Mobile Edge Computing Network

In order to solve the contradiction between the increasing computing demands of users and the limited computing and communication resources in mobile edge computing networks, and the difficulty to guarantee the fairness in handling users' computing tasks, this paper proposes a fair computation offloading policy for a mobile edge computing net⁃ work based on multi-antenna NOMA (Non-Orthogonal Multiple Access). By jointly optimizing the user clustering, the de⁃ coding order of NOMA cluster, the transmission power, the CPU processing frequency, and the transmission time, an opti⁃ mization problem is formulated to maximize the fair computation efficiency of the system. Considering the non-convexity of the optimization problem, it is decomposed into two solving stages. In the first stage, an effective heuristic algorithm is designed to realize user clustering, and determine the decoding order of NOMA cluster according to the clustering results. In the second stage, based on the Dinkelbach method and the SCA (Successive Convex Approximation), an iterative algo⁃ rithm is proposed to obtain the transmission power, the CPU processing frequency, and the transmission time. Simulation results show that the proposed scheme has good convergence, and it can achieve the superior system performance compared with several baseline schemes. © 2023 Chinese Institute of Electronics. All rights reserved.