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Optimal Energy Efficient Power Allocation with User Fairness for Uplink MC-NOMA Systems

  • Fang Fang
  • , Zhiguo Ding
  • , Wei Liang
  • , Haijun Zhang

Research output: Contribution to journalArticlepeer-review

73 Scopus citations

Abstract

The optimal energy efficient power allocation is investigated for the uplink multi-carrier non-orthogonal multiple access (MC-NOMA) system. Considering the user fairness, the power allocation is formulated as a maximization problem of the system weighted energy efficiency, which is defined as a ratio of the weighted sum rate to the total power consumption. By utilizing Dinkelbach algorithm and Lagrange dual decomposition approach, the optimal closed-form power allocation expressions are derived. The convergence and optimality of the proposed scheme can be proved. The simulation results demonstrate performance enhancement of the proposed algorithm compared to the existing works, i.e., the enhance water-filling scheme and orthogonal multiple access (OMA) system.

Original languageEnglish
Article number8680645
Pages (from-to)1133-1136
Number of pages4
JournalIEEE Wireless Communications Letters
Volume8
Issue number4
DOIs
StatePublished - Aug 2019

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Energy efficiency
  • power allocation
  • uplink NOMA

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