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

Kha-Hung Nguyen, Hieu V. Nguyen, Mai T. P. Le, Tuan X. Cao and Oh-Soon Shin
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Kha-Hung Nguyen: School of Electronic Engineering and Department of Information Communication Convergence Technology, Soongsil University, Seoul 06978, Korea
Hieu V. Nguyen: School of Electronic Engineering and Department of Information Communication Convergence Technology, Soongsil University, Seoul 06978, Korea
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

Energies, 2020, vol. 14, issue 1, 1-18

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.

Keywords: bipartite graph; inner approximation; non-orthogonal multiple access; power consumption; rate fairness (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
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