Spectral-and Energy-Efficient Resource Allocation for Multi-Carrier Uplink NOMA Systems

Ming Zeng, Nam Phong Nguyen, Octavia A. Dobre, Zhiguo Ding, H. Vincent Poor

Research output: Contribution to journalArticlepeer-review

56 Scopus citations


In this paper, resource allocation for a multi-carrier uplink non-orthogonal multiple access (NOMA) system is studied. Unlike the existing works on multi-carrier uplink NOMA, in which each user is assumed to access only one subcarrier, we consider a more general scenario where the number of subcarriers allocated to a single user is not constrained. We first aim to maximize the system's sum rate, which requires selecting the appropriate subcarriers for each user and distribute the transmission power. The formulated non-convex problem is transformed into a convex one, and further, an optimal and low-complexity iterative water-filling solution is proposed. Nonetheless, it is shown that maximum transmit power is employed by each user to maximize the sum rate. Motivated by the fact that the users are power constrained, the energy efficiency (EE) maximization problem is also studied. Based on fractional programming, the EE maximization problem is transformed into a series of sum rate maximization subproblems, and the proposed iterative water-filling solution is applied to each subproblem. The proposed schemes are compared with other NOMA-based and orthogonal multiple access based algorithms, and its superiority is fully validated.

Original languageEnglish (US)
Article number8754706
Pages (from-to)9293-9296
Number of pages4
JournalIEEE Transactions on Vehicular Technology
Issue number9
StatePublished - Sep 2019

All Science Journal Classification (ASJC) codes

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


  • Non-orthogonal multiple access (NOMA)
  • multi-carrier NOMA
  • resource allocation
  • uplink


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