Joint Spectral and Energy Efficiency Optimization for Downlink NOMA Networks

Wali Ullah Khan, Furqan Jameel, Tapani Ristaniemi, Shafiullah Khan, Guftaar Ahmad Sardar Sidhu, Ju Liu

Research output: Contribution to journalArticleScientificpeer-review

58 Citations (Scopus)
62 Downloads (Pure)


Non-orthogonal multiple access (NOMA) holds the promise to be a key enabler of 5G communication. However, the existing design of NOMA systems must be optimized to achieve maximum rate while using minimum transmit power. To do so, this paper provides a novel technique based on multi-objective optimization to efficiently allocate resources in the multi-user NOMA systems supporting downlink transmission. Specifically, our unique optimization technique jointly improves spectrum and energy efficiency while satisfying the constraints on users quality of services (QoS) requirements, transmit power budget and successive interference cancellation. We first formulate a joint problem for spectrum and energy optimization and then employ dual decomposition technique to obtain an efficient solution. For the sake of comparison, a low complexity single-objective NOMA optimization scheme is also provided as a benchmark scheme. The simulation results show that the proposed joint approach not only performs better than the traditional benchmark NOMA scheme but also significantly outperforms its counterpart orthogonal multiple access (OMA) scheme in terms of both energy and spectral efficiency.

Original languageEnglish
Pages (from-to)645-656
Number of pages12
JournalIEEE Transactions on Cognitive Communications and Networking
Issue number2
Early online dateOct 2019
Publication statusPublished - Jun 2020
MoE publication typeA1 Journal article-refereed


  • Downlink
  • Energy efficiency
  • Multi-objective optimization
  • NOMA
  • Non-orthogonal multiple access
  • Optimization
  • Power system management
  • QoS.
  • Quality of service
  • Resource management
  • Silicon carbide
  • Spectral efficiency


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