Energy-Efficient User Pairing for Downlink NOMA in Massive MIMO Networks

The motivations for deploying energy and spectral-efficient network architectures are the high consumption need more spectral resources in modern cellular networks. key method to solve efficiency EE maximization problem of downlink non-orthogonal multiple access (NOMA)-based massive MIMO system is decouple it into user pairing efficient power allocation problems. This work studies performance three main methods NOMA-based networks: Hungarian, Gale–Shapley, correlation-based approaches. Firstly, we provide a mathematical analysis NOMA non-line sight (NLoS) channel model with perfect successive interference cancellation (SIC). Finally, sequential convex programming (SCP) approach used tackle problem. Simulation results show that Hungarian algorithm plus SCP (Hungarian algorithm-SCP) achieves highest among all algorithms an identical joint resource block association (joint user-RB PA) but much lower computational complexity outperforms greedy (NOMA-SCP-GA).