Abstract
In this paper, the energy efficiency (EE) maximization problem is studied 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, a power allocation (PA) problem is formulated 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.
Original language | English (US) |
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Article number | 8603758 |
Pages (from-to) | 3000-3004 |
Number of pages | 5 |
Journal | IEEE Transactions on Vehicular Technology |
Volume | 68 |
Issue number | 3 |
DOIs | |
State | Published - Mar 2019 |
All Science Journal Classification (ASJC) codes
- Automotive Engineering
- Aerospace Engineering
- Electrical and Electronic Engineering
- Applied Mathematics
Keywords
- Massive multiple-input multiple-output (mMIMO)
- energy efficiency
- hybrid precoding
- millimeter wave
- non-orthogonal multiple access (NOMA)