Energy-Efficient Power Allocation in Uplink mmWave Massive MIMO With NOMA

Abstract

In this paper, we study the energy efficiency (EE) maximization problem for\nan uplink millimeter wave massive multiple-input multiple-output system with\nnon-orthogonal multiple access (NOMA). Multiple two-user clusters are formed\naccording to their channel correlation and gain difference, and NOMA is applied\nwithin each cluster. Then, a hybrid analog-digital beamforming scheme is\ndesigned to lower the number of radio frequency chains at the base station\n(BS). On this basis, we formulate a power allocation (PA) problem to maximize\nthe EE under users' quality of service requirements. An iterative algorithm is\nproposed to obtain the PA. Moreover, an enhanced NOMA scheme is also proposed,\nby exploiting the global information at the BS. Numerical results show that the\nproposed NOMA schemes achieve superior EE when compared with the conventional\northogonal multiple access scheme.\n