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

Ming Zeng, Wanming Hao, Octavia A. Dobre, H. Vincent Poor

Research output: Contribution to journalArticlepeer-review

84 Scopus citations


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 languageEnglish (US)
Article number8603758
Pages (from-to)3000-3004
Number of pages5
JournalIEEE Transactions on Vehicular Technology
Issue number3
StatePublished - Mar 2019

All Science Journal Classification (ASJC) codes

  • Automotive Engineering
  • Aerospace Engineering
  • Electrical and Electronic Engineering
  • Applied Mathematics


  • Massive multiple-input multiple-output (mMIMO)
  • energy efficiency
  • hybrid precoding
  • millimeter wave
  • non-orthogonal multiple access (NOMA)


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