Joint Time and Power Allocation for Wireless Powered NOMA-MEC Systems

Abstract

This paper considers a hybrid wireless powered non-orthogonal multiple access (NOMA) enabled mobile edge computing (MEC) systems. The transmit energy beamforming, transmit power and time allocations are jointly optimized to maximize the computation rate of the strong user, while satisfying the computation rate requirement of the weak user and the harvested energy constraints. The optimal solution is proposed in a semi-closed form by adopting Lagrange duality method. Simulation results show that the proposed system yields better performance than the existing schemes.