A Novel Approach to Energy Efficiency Optimization in NOMA-Aided V2X Networks

In Vehicle-to-Everything (V2X), cellular Device-to-Device (D2D) communication can improve spectrum efficiency, and non-orthogonal multiple access (NOMA) can further strengthen system capacity. However, the execution for NOMA may be affected by the additional interference introduced by cellular links in V2X. In this paper, we study the energy-efficient optimization problem in cellular D2D-aided V2X networks with NOMA. To efficiently meet the quality of service (QoS) requirements while accounting for the maximum performance from the user’s perspective, we attempt to maximize the minimum energy efficiency (EE) of each matching link by performing power allocation and spectrum sharing. Since the formulated problem belongs to a non-convex mixed integer non-linear programming (MINLP), a novel resource allocation scheme is proposed to solve this complex coupling problem. Finally, simulation results verify the proposed algorithm’s effectiveness as compared to different benchmark schemes.