Energy-aware resource allocation scheme for device-to-device communication based on NOMA underlaying cellular networks

Abstract

In this paper, power-domain NOMA is applied to D2D communications, and then an optimization problem to maximize the system total energy efficiency (EE) is formulated while guarantying the quality of service (QoS) of both cellular users and D2D users. This optimization problem is a mixed integer fractional programming (MIFP) with a large-scale solution space. Then in order to solve the problem with low complexity, a novel energy aware resource allocation scheme based on Improved Differential Evolution algorithm (EARAS-IDE) is developed. It is a joint physical resource block (RB) allocation and power control scheme. Finally, extensive simulation results show that the proposed EARAS-IDE algorithm with a low complexity is able to converge quickly and approximate the optimal solution after introducing the dynamic mutation factor F. Additionally, compared with OMA scheme, the NOMA scheme achieves higher EE performance gains at the cost of slightly increased receiver complexity.