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

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...

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Bibliographic Details
Published in:Energies (Basel) 2021-01, Vol.14 (1), p.58
Main Authors: Nguyen, Kha-Hung, Nguyen, Hieu V., Le, Mai T. P., Cao, Tuan X., Shin, Oh-Soon
Format: Article
Language:English
Subjects:
Algorithms
Antennas
Approximation method
Beamforming
bipartite graph
Channel capacity
Control equipment
Downlinking
Efficiency
Graph theory
inner approximation
Noise
non-orthogonal multiple access
Nonorthogonal multiple access
Optimization
Power consumption
rate fairness
Relaxation method (mathematics)
Variables
Wireless networks
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Summary: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.
ISSN:1996-1073
1996-1073
DOI:10.3390/en14010058