In this paper, we study the energy efficiency (EE) maximization problem for an uplink millimeter wave massive multiple-input multiple-output system with non-orthogonal multiple access (NOMA). Multiple two-user clusters are formed according to their channel correlation and gain difference, and NOMA is applied within each cluster. Then, a hybrid analog-digital beamforming scheme is designed to lower the number of radio frequency chains at the base station (BS). On this basis, we formulate a power allocation (PA) problem to maximize the EE under users' quality of service requirements. An iterative algorithm is proposed to obtain the PA. Moreover, an enhanced NOMA scheme is also proposed, by exploiting the global information at the BS. Numerical results show that the proposed NOMA schemes achieve superior EE when compared with the conventional orthogonal multiple access scheme. Massive multiple-input multiple-output (mMIMO), millimeter wave, hybrid precoding, energy efficiency, non-orthogonal multiple access (NOMA).
Zeng et al. REF propose an energy efficiency maximization problem for an uplink millimeter wave massive MIMO system with NOMA, and introduce an iterative algorithm to allocate the power for energy efficiency maximization.
Energy-Efficient Power Allocation in Uplink mmWave Massive MIMO with NOMA
IEEE TVT 2019
Computer Science Mathematics