Energy-Efficient Resource Allocation for Heterogeneous SWIPT-NOMA Systems

Abstract

Non-orthogonal multiple access (NOMA) and simultaneous wireless information and power transfer (SWIPT) have emerged as two promising techniques to achieve high spectrum efficiency and energy efficiency, respectively. This paper introduces an energy-efficient resource allocation algorithm for heterogeneous SWIPT-NOMA systems. Considering the minimum rate requirements of users, energy harvesting, and transmission power of heterogeneous radio access technologies, we present a hybrid resource allocation framework for maximizing energy efficiency performance jointly with power and time scheduling management. Due to the non-linear and non-convex issues, we utilize Dinkelbach and Lagrangian Duality theory to obtain the global optimal solution. Simulation results show that the proposed energy-efficiency resource allocation algorithm can improve the energy efficiency performance compared with the other existing schemes.