Optimal User Scheduling and Power Allocation for Millimeter Wave NOMA Systems

Jingjing Cui, Yuanwei Liu, Zhiguo Ding, Pingzhi Fan, Arumugam Nallanathan

Research output: Contribution to journalArticlepeer-review

184 Scopus citations


This paper investigates the application of non-orthogonal multiple access (NOMA) in millimeter wave (mm-Wave) communications by exploiting beamforming, user scheduling, and power allocation. Random beamforming is invoked for reducing the feedback overhead of the considered system. A non-convex optimization problem for maximizing the sum rate is formulated, which is proved to be NP-hard. The branch and bound approach is invoked to obtain the ∈-optimal power allocation policy, which is proved to converge to a global optimal solution. To elaborate further, a low-complexity suboptimal approach is developed for striking a good computational complexity-optimality tradeoff, where the matching theory and successive convex approximation techniques are invoked for tackling the user scheduling and power allocation problems, respectively. Simulation results reveal that: 1) the proposed low complexity solution achieves a near-optimal performance and 2) the proposed mm-Wave NOMA system is capable of outperforming conventional mm-Wave orthogonal multiple access systems in terms of sum rate and the number of served users.

Original languageBritish English
Pages (from-to)1502-1517
Number of pages16
JournalIEEE Transactions on Wireless Communications
Issue number3
StatePublished - Mar 2018


  • Millimeter wave (mm-wave)
  • non-orthogonal multiple access (NOMA)
  • power allocation
  • user scheduling


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