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Rate Fairness and Power Consumption Optimization for NOMA-Assisted Downlink Networks

Author

Listed:
  • Kha-Hung Nguyen

    (School of Electronic Engineering and Department of Information Communication Convergence Technology, Soongsil University, Seoul 06978, Korea
    These authors contributed equally to this work.)

  • Hieu V. Nguyen

    (School of Electronic Engineering and Department of Information Communication Convergence Technology, Soongsil University, Seoul 06978, Korea
    These authors contributed equally to this work.)

  • Mai T. P. Le

    (Faculty of Electronics and Telecommunication Engineering, The University of Danang-University of Science and Technology, Danang 550000, Vietnam)

  • Tuan X. Cao

    (Department of Office Administration, The University of Danang, Danang 550000, Vietnam)

  • Oh-Soon Shin

    (School of Electronic Engineering and Department of Information Communication Convergence Technology, Soongsil University, Seoul 06978, Korea)

Abstract

This paper considers a non-orthogonal multiple access (NOMA) downlink network, where a hybrid of NOMA and beamforming designs is developed to enhance the channel capacity. We aim to improve the system performance in terms of rate fairness and power consumption. Hence, a multi-objective problem with a joint optimization of user equipment pairing, power control, and quality-of-service requirements is addressed. To efficiently solve the problem, we propose two low-complexity algorithms based on the inner-approximation method, with the first algorithm using the relaxation method and the second one using graph theory. Numerical results are provided to demonstrate the effectiveness of the two proposed algorithms in comparison with the exhaustive search and existing methods.

Suggested Citation

  • Kha-Hung Nguyen & Hieu V. Nguyen & Mai T. P. Le & Tuan X. Cao & Oh-Soon Shin, 2020. "Rate Fairness and Power Consumption Optimization for NOMA-Assisted Downlink Networks," Energies, MDPI, vol. 14(1), pages 1-18, December.
    • Handle: RePEc:gam:jeners:v:14:y:2020:i:1:p:58-:d:467798
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    References listed on IDEAS

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    1. Barry R. Marks & Gordon P. Wright, 1978. "Technical Note—A General Inner Approximation Algorithm for Nonconvex Mathematical Programs," Operations Research, INFORMS, vol. 26(4), pages 681-683, August.
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