Resource Allocation via User Cooperation for Uplink NOMA-MEC Systems

Abstract:
The fifth-generation mobile communication has strict requirements on spectrum resources. In view of the low spectrum utilization and the poor user fairness of the existing non-orthogonal multiple access (NOMA) systems, this paper studies the resource allocation problem in multi access edge computing (MEC) based on uplink cooperative NOMA. In particularly, we assume that the user can be regarded as Full-duplex (FD) relay equipped with transmitting antenna and receiving antenna to help other users offloading data to the base station (BS). In this study, the computation offloading problem is deduced under the constraints of transmission power and computing resources and establishes the resource allocation problem among users to minimize the system computational overhead. Because the optimization problem is nonconvex, the improved differential evolution (DE) algorithm is used to solve the optimal power allocation efficiently. Simulation results show that the proposed scheme can significantly reduce the total computational overhead of the system compared with the traditional scheme.